[{"publication_status":"published","publication_identifier":{"issn":["2199–8825"]},"citation":{"mla":"Hannebohm, Ronja. “Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft.” die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre, vol. 12, wbv, 2026, pp. 65–80, doi:10.3278/HSL2606W.","bibtex":"@article{Hannebohm_2026, title={Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft}, volume={12}, DOI={10.3278/HSL2606W}, journal={die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre}, publisher={wbv}, author={Hannebohm, Ronja}, year={2026}, pages={65–80} }","short":"R. Hannebohm, die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre 12 (2026) 65–80.","apa":"Hannebohm, R. (2026). Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft. die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre, 12, 65–80. https://doi.org/10.3278/HSL2606W","ama":"Hannebohm R. Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft. die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre. 2026;12:65-80. doi:10.3278/HSL2606W","ieee":"R. Hannebohm, “Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft,” die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre, vol. 12, pp. 65–80, 2026, doi: 10.3278/HSL2606W.","chicago":"Hannebohm, Ronja. “Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft.” die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre 12 (2026): 65–80. https://doi.org/10.3278/HSL2606W."},"intvolume":" 12","page":"65-80","author":[{"id":"27419","full_name":"Hannebohm, Ronja","last_name":"Hannebohm","first_name":"Ronja"}],"volume":12,"oa":"1","date_updated":"2026-02-03T10:59:36Z","main_file_link":[{"open_access":"1","url":"https://www.wbv.de/shop/Paderborner-Beitraege-2025-HSLT2601W"}],"doi":"10.3278/HSL2606W","type":"journal_article","status":"public","user_id":"27419","department":[{"_id":"116"}],"_id":"61463","article_type":"original","quality_controlled":"1","year":"2026","date_created":"2025-09-29T12:34:48Z","publisher":"wbv","title":"Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft","publication":"die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre","abstract":[{"text":"Vernetztes Wissen ist ein zentrales Lernziel des Hochschulstudiums, insbesondere im interdisziplinär angelegten Studienfach Komparatistik. Um den Aufbau vernetzten Wissens bei Bachelorstudierenden der Komparatistik zu unterstützen, ist in diesem Projekt Portfolioarbeit eingesetzt worden, die als Methode selbsttätigen und selbstreflexiven Lernens geeignet erscheint, zur Auseinandersetzung mit Lerninhalten zu motivieren und zur Kompetenzentwicklung der Studierenden beizutragen. Mittels unstrukturierter Beobachtungen der Portfolioarbeit im Seminar sind inhaltliche Effekte und methodische Entwicklungen erfasst worden. Anhand anteilig quantitativer, überwiegend qualitativer Inhaltsanalysen der Portfolios sind konkrete Vernetzungen zwischen Lerninhalten ermittelt worden. Die Explorationsstudie zeigt veränderte Perspektiven und geweckte Interessen bei den Studierenden durch die Portfolioarbeit sowie vielfältige Kontextualisierungen, Vergleiche und Verknüpfungen in den Portfolios auf und bietet hierdurch einen möglichen Ansatzpunkt für strukturelle Empfehlungen für das Studienfach Komparatistik.","lang":"ger"},{"text":"Knowledge networks are a central learning objective in higher education, especially in the inherently interdisciplinary discipline of comparative literary and cultural studies. To support the development of knowledge networks with undergraduate students of comparative literary and cultural studies, this project utilized portfolio work as a method of self-actuating and self-reflective learning suitable for motivating examinations of learning contents and contributing to students’ skill development. Using naturalistic observations of the portfolio work within the seminar, effects and developments were recorded. With partly quantitative, predominantly qualitative content analyses of the portfolios, concrete connections between learning contents were determined. The explorative study shows changed perspectives and peaked interests of the students because of portfolio work as well as diverse contextualisations, comparisons and connections in the portfolios, thus offering a possible starting point for structural recommendations for the discipline of comparative literary and cultural studies.","lang":"eng"}],"language":[{"iso":"ger"}],"keyword":["Portfolioarbeit","portfolio work","vernetztes Wissen","knowledge networks","Beobachtung","naturalistic observation","Inhaltsanalyse","content analysis"]},{"publication_identifier":{"issn":["0022-4308"],"eissn":["1098-2736"]},"publication_status":"published","citation":{"bibtex":"@article{Zeller_Riese_2025, title={Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?}, DOI={10.1002/tea.70001}, journal={Journal of Research in Science Teaching}, author={Zeller, Jannis and Riese, Josef}, year={2025} }","mla":"Zeller, Jannis, and Josef Riese. “Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of PPCK Emerge From Non-Hierarchical Analyses?” Journal of Research in Science Teaching, 2025, doi:10.1002/tea.70001.","short":"J. Zeller, J. Riese, Journal of Research in Science Teaching (2025).","apa":"Zeller, J., & Riese, J. (2025). Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses? Journal of Research in Science Teaching. https://doi.org/10.1002/tea.70001","ama":"Zeller J, Riese J. Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses? Journal of Research in Science Teaching. Published online 2025. doi:10.1002/tea.70001","chicago":"Zeller, Jannis, and Josef Riese. “Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of PPCK Emerge From Non-Hierarchical Analyses?” Journal of Research in Science Teaching, 2025. https://doi.org/10.1002/tea.70001.","ieee":"J. Zeller and J. Riese, “Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?,” Journal of Research in Science Teaching, 2025, doi: 10.1002/tea.70001."},"year":"2025","author":[{"full_name":"Zeller, Jannis","id":"99022","last_name":"Zeller","orcid":"0000-0002-1834-5520","first_name":"Jannis"},{"first_name":"Josef","orcid":"0000-0003-2927-2619","last_name":"Riese","full_name":"Riese, Josef","id":"429"}],"date_created":"2025-03-04T08:08:37Z","oa":"1","date_updated":"2025-03-04T08:08:42Z","doi":"10.1002/tea.70001","main_file_link":[{"url":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tea.70001","open_access":"1"}],"title":"Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?","publication":"Journal of Research in Science Teaching","type":"journal_article","status":"public","abstract":[{"lang":"eng","text":"There have been several attempts to conceptualize and operationalize pedagogical content knowledge (PCK) in the context of teachers' professional competencies. A recent and popular model is the Refined Consensus Model (RCM), which proposes a framework of dispositional competencies (personal PCK—pPCK) that influence more action-related competencies (enacted PCK—ePCK) and vice versa. However, descriptions of the internal structure of pPCK and possible knowledge domains that might develop independently are still limited, being either primarily theoretically motivated or strictly hierarchical and therefore of limited use, for example, for formative feedback and further development of the RCM. Meanwhile, a non-hierarchical differentiation for the ePCK regarding the plan-teach-reflect cycle has emerged. In this study, we present an exploratory computational approach to investigate pre-service teachers' pPCK for a similar non-hierarchical structure using a large dataset of responses to a pPCK questionnaire (N=846). We drew on theoretical foundations and previous empirical findings to achieve interpretability by integrating this external knowledge into our analyses using the Computational Grounded Theory (CGT) framework. The results of a cluster analysis of the pPCK scores indicate the emergence of prototypical groups, which we refer to as competency profiles: (1) a group with low performance, (2) a group with relatively advanced competency in using pPCK to create instructional elements, (3) a group with relatively advanced competency in using pPCK to assess and analyze described instructional elements, and (4) a group with high performance. These groups show tendencies for certain language usage, which we analyze using a structural topic model in a CGT-inspired pattern refinement step. We verify these patterns by demonstrating the ability of a machine learning model to predict the competency profile assignments. Finally, we discuss some implications of the results for the further development of the RCM and their potential usability for an automated formative assessment."}],"department":[{"_id":"299"}],"user_id":"99022","_id":"58885","language":[{"iso":"eng"}],"keyword":["computational grounded theory","language analysis","machine learning","pedagogical content knowledge","unsupervised learning"],"article_type":"original"},{"related_material":{"link":[{"relation":"confirmation","url":"https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/"}]},"citation":{"ieee":"K. Brennig, “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes,” presented at the Americas Conference on Information Systems, Montréal, 2025.","chicago":"Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” In AMCIS 2025 Proceedings. 11., 2025.","ama":"Brennig K. Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. In: AMCIS 2025 Proceedings. 11. ; 2025.","short":"K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.","bibtex":"@inproceedings{Brennig_2025, title={Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes}, booktitle={AMCIS 2025 Proceedings. 11.}, author={Brennig, Katharina}, year={2025} }","mla":"Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” AMCIS 2025 Proceedings. 11., 2025.","apa":"Brennig, K. (2025). Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. AMCIS 2025 Proceedings. 11. Americas Conference on Information Systems, Montréal."},"year":"2025","date_created":"2025-08-20T07:03:37Z","author":[{"first_name":"Katharina","last_name":"Brennig","full_name":"Brennig, Katharina"}],"date_updated":"2025-08-20T07:06:16Z","main_file_link":[{"url":"https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/"}],"conference":{"end_date":"2025-08-16","location":"Montréal","name":"Americas Conference on Information Systems","start_date":"2025-08-14"},"title":"Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes","type":"conference","publication":"AMCIS 2025 Proceedings. 11.","status":"public","abstract":[{"text":"Large Language Models (LLMs) excel in understanding, generating, and processing human language, with growing adoption in process mining. Process mining relies on event logs that capture explicit process knowledge; however, knowledge-intensive processes (KIPs) in domains such as healthcare and product development depend on tacit knowledge, which is often absent from event logs. To bridge this gap, this study proposes a LLM-based framework for mobilizing tacit process knowledge and enriching event logs. A proof-of-concept is demonstrated using a KIP-specific LLM-driven conversational agent built on GPT-4o. The results indicate that LLMs can capture tacit process knowledge through targeted queries and systematically integrate it into event logs. This study presents a novel approach combining LLMs, knowledge management, and process mining, advancing the understanding and management of KIPs by enhancing knowledge accessibility and documentation.","lang":"eng"}],"user_id":"51905","department":[{"_id":"196"}],"_id":"60958","language":[{"iso":"eng"}],"keyword":["Process Mining","Large Language Model","Knowledge Management","Knowledge-Intensive Process","Tacit Knowledge"]},{"intvolume":" 58","citation":{"apa":"Qudus, U., Röder, M., Saleem, M., & Ngonga Ngomo, A.-C. (2025). Fact Checking Knowledge Graphs -- A Survey. ACM Computing Surveys, 58, Article 3749838. https://doi.org/10.1145/3749838","mla":"Qudus, Umair, et al. “Fact Checking Knowledge Graphs -- A Survey.” ACM Computing Surveys, vol. 58, 3749838, Association for Computing Machinery (ACM), 2025, doi:10.1145/3749838.","short":"U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, ACM Computing Surveys 58 (2025).","bibtex":"@article{Qudus_Röder_Saleem_Ngonga Ngomo_2025, title={Fact Checking Knowledge Graphs -- A Survey}, volume={58}, DOI={10.1145/3749838}, number={3749838}, journal={ACM Computing Surveys}, publisher={Association for Computing Machinery (ACM)}, author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “Fact Checking Knowledge Graphs -- A Survey,” ACM Computing Surveys, vol. 58, Art. no. 3749838, 2025, doi: 10.1145/3749838.","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Fact Checking Knowledge Graphs -- A Survey.” ACM Computing Surveys 58 (2025). https://doi.org/10.1145/3749838.","ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. Fact Checking Knowledge Graphs -- A Survey. ACM Computing Surveys. 2025;58. doi:10.1145/3749838"},"has_accepted_license":"1","publication_identifier":{"issn":["0360-0300","1557-7341"]},"publication_status":"published","doi":"10.1145/3749838","main_file_link":[{"open_access":"1","url":"https://dl.acm.org/doi/pdf/10.1145/3749838"}],"oa":"1","date_updated":"2025-09-11T09:30:28Z","volume":58,"author":[{"first_name":"Umair","last_name":"Qudus","orcid":"0000-0001-6714-8729","id":"83392","full_name":"Qudus, Umair"},{"first_name":"Michael","full_name":"Röder, Michael","id":"67199","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"},{"first_name":"Muhammad","last_name":"Saleem","full_name":"Saleem, Muhammad"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"status":"public","popular_science":"1","type":"journal_article","article_type":"original","article_number":"3749838","file_date_updated":"2025-09-11T09:26:29Z","_id":"61123","department":[{"_id":"574"}],"user_id":"83392","year":"2025","quality_controlled":"1","title":"Fact Checking Knowledge Graphs -- A Survey","publisher":"Association for Computing Machinery (ACM)","date_created":"2025-09-03T15:46:43Z","abstract":[{"text":"Knowledge graphs are used by a growing number of applications to represent structured data. Hence, evaluating the veracity of assertions in knowledge graphs—dubbed fact checking—is currently a challenge of growing importance. However, manual fact checking is commonly impractical due to the sheer size of knowledge graphs. This paper is a systematic survey of recent works on automatic fact checking with a focus on knowledge graphs. We present recent fact-checking approaches, the varied sources they use as background knowledge, and the features they rely upon. Finally, we draw conclusions pertaining to possible future research directions in fact checking knowledge graphs.","lang":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","success":1,"creator":"uqudus","date_created":"2025-09-11T09:26:29Z","date_updated":"2025-09-11T09:26:29Z","access_level":"closed","file_id":"61195","file_name":"3749838.pdf","file_size":1062387}],"publication":"ACM Computing Surveys","keyword":["fact checking","knowledge graphs","fact-checkers","check worthiness","evidence retrieval","trust","veracity."],"ddc":["006"],"language":[{"iso":"eng"}],"external_id":{"unknown":["10.1145/3749838"]}},{"doi":"10.1007/978-3-032-06066-2_29","conference":{"end_date":"2025-09-19","location":"Porto, Portugal","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD","start_date":"2025-09-15"},"author":[{"first_name":"Caglar","full_name":"Demir, Caglar","last_name":"Demir"},{"full_name":"Yekini, Moshood","last_name":"Yekini","first_name":"Moshood"},{"full_name":"Röder, Michael","last_name":"Röder","first_name":"Michael"},{"full_name":"Mahmood, Yasir","last_name":"Mahmood","first_name":"Yasir"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_updated":"2025-11-28T14:57:39Z","citation":{"ieee":"C. Demir, M. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based OWL Class Expression Learner over Large Graphs,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2025.","chicago":"Demir, Caglar, Moshood Yekini, Michael Röder, Yasir Mahmood, and Axel-Cyrille Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large Graphs.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-06066-2_29.","ama":"Demir C, Yekini M, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class Expression Learner over Large Graphs. In: Lecture Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-06066-2_29","bibtex":"@inbook{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham}, title={Tree-Based OWL Class Expression Learner over Large Graphs}, DOI={10.1007/978-3-032-06066-2_29}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Demir, Caglar and Yekini, Moshood and Röder, Michael and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","mla":"Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.” Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-06066-2_29.","short":"C. Demir, M. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","apa":"Demir, C., Yekini, M., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C. (2025). Tree-Based OWL Class Expression Learner over Large Graphs. In Lecture Notes in Computer Science. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD, Porto, Portugal. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-06066-2_29"},"place":"Cham","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783032060655","9783032060662"]},"user_id":"114533","department":[{"_id":"34"},{"_id":"574"}],"project":[{"_id":"285","name":"SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen"}],"_id":"62701","status":"public","type":"book_chapter","title":"Tree-Based OWL Class Expression Learner over Large Graphs","date_created":"2025-11-28T14:09:17Z","publisher":"Springer Nature Switzerland","year":"2025","language":[{"iso":"eng"}],"keyword":["Decision Tree","OWL Class Expression Learning","Description Logic","Knowledge Graph","Large Language Model","Verbalizer"],"abstract":[{"lang":"eng","text":"Learning continuous vector representations for knowledge graphs has significantly improved state-of-the-art performances in many challenging tasks. Yet, deep-learning-based models are only post-hoc and locally explainable. In contrast, learning Web Ontology Language (OWL) class expressions in Description Logics (DLs) is ante-hoc and globally explainable. However, state-of-the-art learners have two well-known lim-itations: scaling to large knowledge graphs and handling missing infor-mation. Here, we present a decision-tree-based learner (tDL) to learn Web Ontology Languages (OWLs) class expressions over large knowl-edge graphs, while imputing missing triples. Given positive and negative example individuals, tDL firstly constructs unique OWL expressions in .SHOIN from concise bounded descriptions of individuals. Each OWL class expression is used as a feature in a binary classification problem to represent input individuals. Thereafter, tDL fits a CART decision tree to learn Boolean decision rules distinguishing positive examples from nega-tive examples. A final OWL expression in.SHOIN is built by traversing the built CART decision tree from the root node to leaf nodes for each positive example. By this, tDL can learn OWL class expressions without exploration, i.e., the number of queries to a knowledge graph is bounded by the number of input individuals. Our empirical results show that tDL outperforms the current state-of-the-art models across datasets. Impor-tantly, our experiments over a large knowledge graph (DBpedia with 1.1 billion triples) show that tDL can effectively learn accurate OWL class expressions, while the state-of-the-art models fail to return any results. Finally, expressions learned by tDL can be seamlessly translated into natural language explanations using a pre-trained large language model and a DL verbalizer."}],"publication":"Lecture Notes in Computer Science"},{"conference":{"end_date":"2025-12-10","location":"Dayton, OH, USA","name":"Knowledge Capture Conference 2025","start_date":"2025-12-10"},"doi":"https://doi.org/10.1145/3731443.3771365","main_file_link":[{"url":"https://papers.dice-research.org/2025/KCAP_ASWA/public.pdf"}],"author":[{"id":"89326","full_name":"Sapkota, Rupesh","last_name":"Sapkota","first_name":"Rupesh"},{"full_name":"Demir, Caglar","last_name":"Demir","first_name":"Caglar"},{"first_name":"Arnab","full_name":"Sharma, Arnab","last_name":"Sharma"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"oa":"1","date_updated":"2025-12-04T09:15:07Z","citation":{"mla":"Sapkota, Rupesh, et al. “Parameter Averaging in Link Prediction.” Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025), ACM, 2025, doi:https://doi.org/10.1145/3731443.3771365.","short":"R. Sapkota, C. Demir, A. Sharma, A.-C. Ngonga Ngomo, in: Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025), ACM, Dayton, OH, USA, 2025.","bibtex":"@inproceedings{Sapkota_Demir_Sharma_Ngonga Ngomo_2025, place={Dayton, OH, USA}, title={Parameter Averaging in Link Prediction}, DOI={https://doi.org/10.1145/3731443.3771365}, booktitle={Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025)}, publisher={ACM}, author={Sapkota, Rupesh and Demir, Caglar and Sharma, Arnab and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","apa":"Sapkota, R., Demir, C., Sharma, A., & Ngonga Ngomo, A.-C. (2025). Parameter Averaging in Link Prediction. Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025). Knowledge Capture Conference 2025, Dayton, OH, USA. https://doi.org/10.1145/3731443.3771365","ieee":"R. Sapkota, C. Demir, A. Sharma, and A.-C. Ngonga Ngomo, “Parameter Averaging in Link Prediction,” presented at the Knowledge Capture Conference 2025, Dayton, OH, USA, 2025, doi: https://doi.org/10.1145/3731443.3771365.","chicago":"Sapkota, Rupesh, Caglar Demir, Arnab Sharma, and Axel-Cyrille Ngonga Ngomo. “Parameter Averaging in Link Prediction.” In Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025). Dayton, OH, USA: ACM, 2025. https://doi.org/10.1145/3731443.3771365.","ama":"Sapkota R, Demir C, Sharma A, Ngonga Ngomo A-C. Parameter Averaging in Link Prediction. In: Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025). ACM; 2025. doi:https://doi.org/10.1145/3731443.3771365"},"place":"Dayton, OH, USA","has_accepted_license":"1","file_date_updated":"2025-10-28T10:02:13Z","department":[{"_id":"574"}],"user_id":"89326","_id":"62007","project":[{"name":"SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen","_id":"285"}],"status":"public","type":"conference","title":"Parameter Averaging in Link Prediction","date_created":"2025-10-28T10:02:40Z","publisher":"ACM","year":"2025","language":[{"iso":"eng"}],"keyword":["Knowledge Graphs","Embeddings","Ensemble Learning"],"ddc":["000"],"file":[{"content_type":"application/pdf","relation":"main_file","creator":"rupezzz","date_created":"2025-10-28T10:02:13Z","date_updated":"2025-10-28T10:02:13Z","file_name":"public.pdf","file_id":"62008","access_level":"open_access","file_size":837462}],"abstract":[{"text":"Ensemble methods are widely employed to improve generalization in machine learning. This has also prompted the adoption of ensemble learning for the knowledge graph embedding (KGE) models in performing link prediction. Typical approaches to this end train multiple models as part of the ensemble, and the diverse predictions are then averaged. However, this approach has some significant drawbacks. For instance, the computational overhead of training multiple models increases latency and memory overhead. In contrast, model merging approaches offer a promising alternative that does not require training multiple models. In this work, we introduce model merging, specifically weighted averaging, in\r\nKGE models. Herein, a running average of model parameters from a training epoch onward is maintained and used for predictions. To address this, we additionally propose an approach that selectively updates the running average of the ensemble model parameters only when the generalization performance improves on a validation dataset. We evaluate these two different weighted averaging approaches on link prediction tasks, comparing the state-of-the-art benchmark ensemble approach. Additionally, we evaluate the weighted averaging approach considering literal-augmented KGE models and multi-hop query answering tasks as well. The results demonstrate that the proposed weighted averaging approach consistently improves performance across diverse evaluation settings.","lang":"eng"}],"publication":"Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025)"},{"main_file_link":[{"url":"https://www.scitepress.org/Link.aspx?doi=10.5220/0012947700003838"}],"conference":{"end_date":"2024-11-19","location":"Porto, Portugal","name":"International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","start_date":"2024-11-17"},"doi":"10.5220/0012947700003838","title":"Knowledge Management in Civil Protection at the Example of Fire Brigades","author":[{"full_name":"Schultz, Andreas Maximilian","id":"40599","last_name":"Schultz","first_name":"Andreas Maximilian"},{"first_name":"Fabian","full_name":"Dotzki, Fabian","last_name":"Dotzki"},{"id":"95903","full_name":"Mozgova, Iryna","last_name":"Mozgova","first_name":"Iryna"}],"date_created":"2024-11-27T07:50:07Z","date_updated":"2024-11-27T07:53:24Z","publisher":"SCITEPRESS - Science and Technology Publications","citation":{"short":"A.M. Schultz, F. Dotzki, I. Mozgova, in: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, SCITEPRESS - Science and Technology Publications, 2024.","mla":"Schultz, Andreas Maximilian, et al. “Knowledge Management in Civil Protection at the Example of Fire Brigades.” Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, SCITEPRESS - Science and Technology Publications, 2024, doi:10.5220/0012947700003838.","bibtex":"@inproceedings{Schultz_Dotzki_Mozgova_2024, title={Knowledge Management in Civil Protection at the Example of Fire Brigades}, DOI={10.5220/0012947700003838}, booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management}, publisher={SCITEPRESS - Science and Technology Publications}, author={Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}, year={2024} }","apa":"Schultz, A. M., Dotzki, F., & Mozgova, I. (2024). Knowledge Management in Civil Protection at the Example of Fire Brigades. Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Porto, Portugal. https://doi.org/10.5220/0012947700003838","ama":"Schultz AM, Dotzki F, Mozgova I. Knowledge Management in Civil Protection at the Example of Fire Brigades. In: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications; 2024. doi:10.5220/0012947700003838","chicago":"Schultz, Andreas Maximilian, Fabian Dotzki, and Iryna Mozgova. “Knowledge Management in Civil Protection at the Example of Fire Brigades.” In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications, 2024. https://doi.org/10.5220/0012947700003838.","ieee":"A. M. Schultz, F. Dotzki, and I. Mozgova, “Knowledge Management in Civil Protection at the Example of Fire Brigades,” presented at the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Porto, Portugal, 2024, doi: 10.5220/0012947700003838."},"year":"2024","publication_status":"published","language":[{"iso":"eng"}],"keyword":["Knowledge Management","Civil Protection","Systematic Literature Review","Fire Brigade"],"user_id":"40599","department":[{"_id":"741"}],"_id":"57445","status":"public","abstract":[{"lang":"eng","text":"Knowledge management is essential for successful disaster management. This paper conducts a Systematic Literature Review at the intersection of the knowledge management field and disaster management and examines the available body of literature. Fire departments are chosen as the focus group as they are the most prevalent emergency services. There are many publications that deal with knowledge management during the response phase of an emergency. Often, the literature focuses on the application of knowledge management in large-scale disasters to link the various organizations on-scene. What is missing in most approaches is a prior step of implementing and training the knowledge management system. Therefore, this literature review seeks to provide an overview of approaches for daily routines and small-to-medium incidents that serve as a training ground. However, literature on non-incident phases and smaller incidents is scarce. As information technologies are developing rapidly, there is no modern and recent description of the current use of knowledge management solutions in this area."}],"type":"conference","publication":"Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management"},{"has_accepted_license":"1","citation":{"apa":"Qudus, U., Röder, M., Tatkeu Pekarou, F. L., Morim da Silva, A. A., & Ngonga Ngomo, A.-C. (2024). FaVEL: Fact Validation Ensemble Learning. In M. Rospocher & Mehwish Alam (Eds.), EKAW 2024.","bibtex":"@inproceedings{Qudus_Röder_Tatkeu Pekarou_Morim da Silva_Ngonga Ngomo_2024, title={FaVEL: Fact Validation Ensemble Learning}, booktitle={EKAW 2024}, author={Qudus, Umair and Röder, Michael and Tatkeu Pekarou, Franck Lionel and Morim da Silva, Ana Alexandra and Ngonga Ngomo, Axel-Cyrille}, editor={Rospocher, Marco and Mehwish Alam}, year={2024} }","short":"U. Qudus, M. Röder, F.L. Tatkeu Pekarou, A.A. Morim da Silva, A.-C. Ngonga Ngomo, in: M. Rospocher, Mehwish Alam (Eds.), EKAW 2024, 2024.","mla":"Qudus, Umair, et al. “FaVEL: Fact Validation Ensemble Learning.” EKAW 2024, edited by Marco Rospocher and Mehwish Alam, 2024.","ama":"Qudus U, Röder M, Tatkeu Pekarou FL, Morim da Silva AA, Ngonga Ngomo A-C. FaVEL: Fact Validation Ensemble Learning. In: Rospocher M, Mehwish Alam, eds. EKAW 2024. ; 2024.","ieee":"U. Qudus, M. Röder, F. L. Tatkeu Pekarou, A. A. Morim da Silva, and A.-C. Ngonga Ngomo, “FaVEL: Fact Validation Ensemble Learning,” in EKAW 2024, Amsterdam, Netherlands, 2024.","chicago":"Qudus, Umair, Michael Röder, Franck Lionel Tatkeu Pekarou, Ana Alexandra Morim da Silva, and Axel-Cyrille Ngonga Ngomo. “FaVEL: Fact Validation Ensemble Learning.” In EKAW 2024, edited by Marco Rospocher and Mehwish Alam, 2024."},"author":[{"first_name":"Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus","full_name":"Qudus, Umair","id":"83392"},{"first_name":"Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","full_name":"Röder, Michael","id":"67199"},{"first_name":"Franck Lionel","last_name":"Tatkeu Pekarou","full_name":"Tatkeu Pekarou, Franck Lionel"},{"first_name":"Ana Alexandra","last_name":"Morim da Silva","full_name":"Morim da Silva, Ana Alexandra","id":"72108"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2025-09-11T09:48:12Z","conference":{"name":"24th International Conference on Knowledge Engineering and Knowledge Management","start_date":"2024-11-26","end_date":"2024-11-28","location":"Amsterdam, Netherlands"},"popular_science":"1","type":"conference","status":"public","editor":[{"full_name":"Rospocher, Marco","last_name":"Rospocher","first_name":"Marco"}],"user_id":"83392","department":[{"_id":"34"}],"project":[{"name":"NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen","_id":"412"},{"name":"SAIL: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen","_id":"285"},{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"}],"_id":"57240","file_date_updated":"2024-11-19T14:14:14Z","quality_controlled":"1","corporate_editor":["Mehwish Alam"],"year":"2024","date_created":"2024-11-19T14:12:49Z","title":"FaVEL: Fact Validation Ensemble Learning","publication":"EKAW 2024","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"57241","file_name":"favel.pdf","file_size":190661,"date_created":"2024-11-19T14:14:14Z","creator":"uqudus","date_updated":"2024-11-19T14:14:14Z"}],"abstract":[{"text":"Validating assertions before adding them to a knowledge graph is an essential part of its creation and maintenance. Due to the sheer size of knowledge graphs, automatic fact-checking approaches have been developed. These approaches rely on reference knowledge to decide whether a given assertion is correct. Recent hybrid approaches achieve good results by including several knowledge sources. However, it is often impractical to provide a sheer quantity of textual knowledge or generate embedding models to leverage these hybrid approaches. We present FaVEL, an approach that uses algorithm selection and ensemble learning to amalgamate several existing fact-checking approaches that rely solely on a reference knowledge graph and, hence, use fewer resources than current hybrid approaches. For our evaluation, we create updated versions of two existing datasets and a new dataset dubbed FaVEL-DS. Our evaluation compares our approach to 15 fact-checking approaches—including the state-of-the-art approach HybridFC—on 3 datasets. Our results demonstrate that FaVEL outperforms all other approaches significantly by at least 0.04 in terms of the area under the ROC curve. Our source code, datasets, and evaluation results are open-source and can be found at https://github.com/dice-group/favel.","lang":"eng"}],"language":[{"iso":"eng"}],"ddc":["600"],"keyword":["fact checking","ensemble learning","transfer learning","knowledge management."]},{"year":"2024","citation":{"short":"A. Werning, R. Haeb-Umbach, in: 32nd European Signal Processing Conference (EUSIPCO 2024), 2024.","mla":"Werning, Alexander, and Reinhold Haeb-Umbach. “Target-Specific Dataset Pruning for Compression of Audio Tagging Models.” 32nd European Signal Processing Conference (EUSIPCO 2024), 2024.","bibtex":"@inproceedings{Werning_Haeb-Umbach_2024, title={Target-Specific Dataset Pruning for Compression of Audio Tagging Models}, booktitle={32nd European Signal Processing Conference (EUSIPCO 2024)}, author={Werning, Alexander and Haeb-Umbach, Reinhold}, year={2024} }","apa":"Werning, A., & Haeb-Umbach, R. (2024). Target-Specific Dataset Pruning for Compression of Audio Tagging Models. 32nd European Signal Processing Conference (EUSIPCO 2024). 32nd European Signal Processing Conference, Lyon.","ama":"Werning A, Haeb-Umbach R. Target-Specific Dataset Pruning for Compression of Audio Tagging Models. In: 32nd European Signal Processing Conference (EUSIPCO 2024). ; 2024.","ieee":"A. Werning and R. Haeb-Umbach, “Target-Specific Dataset Pruning for Compression of Audio Tagging Models,” presented at the 32nd European Signal Processing Conference, Lyon, 2024.","chicago":"Werning, Alexander, and Reinhold Haeb-Umbach. “Target-Specific Dataset Pruning for Compression of Audio Tagging Models.” In 32nd European Signal Processing Conference (EUSIPCO 2024), 2024."},"quality_controlled":"1","has_accepted_license":"1","title":"Target-Specific Dataset Pruning for Compression of Audio Tagging Models","conference":{"name":"32nd European Signal Processing Conference","location":"Lyon"},"date_updated":"2025-11-28T13:22:00Z","author":[{"last_name":"Werning","id":"62152","full_name":"Werning, Alexander","first_name":"Alexander"},{"last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","id":"242","first_name":"Reinhold"}],"date_created":"2024-11-18T09:29:16Z","abstract":[{"lang":"eng","text":"Large audio tagging models are usually trained or pre-trained on AudioSet, a dataset that encompasses a large amount of different sound classes and acoustic environments. Knowledge distillation has emerged as a method to compress such models without compromising their effectiveness. There are many different applications for audio tagging, some of which require a specialization to a narrow domain of sounds to be classified. For these scenarios, it is beneficial to distill the large audio tagger with respect to a specific subset of sounds of interest. A method to prune a general dataset with respect to a target dataset is presented. By distilling with such a specialized pruned dataset, we obtain a compressed model with better classification accuracy in the specific target domain than with target-agnostic distillation."}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_name":"Eusipco__Target_specific_Dataset_Pruning_for_Compression_of_Audio_Tagging_Models.pdf","file_id":"57200","access_level":"closed","file_size":183539,"creator":"awerning","date_created":"2024-11-18T12:10:09Z","date_updated":"2024-11-18T12:10:09Z"}],"status":"public","type":"conference","publication":"32nd European Signal Processing Conference (EUSIPCO 2024)","ddc":["000"],"keyword":["data pruning","knowledge distillation","audio tagging"],"language":[{"iso":"eng"}],"file_date_updated":"2024-11-18T12:10:09Z","project":[{"name":"WestAI - AI Service Center West","_id":"512"}],"_id":"57160","user_id":"62152","department":[{"_id":"54"}]},{"status":"public","editor":[{"first_name":"Terry","last_name":"R. Payne","full_name":"R. Payne, Terry"},{"first_name":"Valentina","last_name":"Presutti","full_name":"Presutti, Valentina"},{"first_name":"Guilin","last_name":"Qi","full_name":"Qi, Guilin"},{"first_name":"María","last_name":"Poveda-Villalón","full_name":"Poveda-Villalón, María"},{"first_name":"Giorgos","full_name":"Stoilos, Giorgos","last_name":"Stoilos"},{"last_name":"Hollink","full_name":"Hollink, Laura","first_name":"Laura"},{"full_name":"Kaoudi, Zoi","last_name":"Kaoudi","first_name":"Zoi"},{"last_name":"Cheng","full_name":"Cheng, Gong","first_name":"Gong"},{"first_name":"Juanzi","last_name":"Li","full_name":"Li, Juanzi"}],"type":"conference","file_date_updated":"2024-01-13T11:25:48Z","series_title":" Lecture Notes in Computer Science","user_id":"83392","department":[{"_id":"34"}],"project":[{"grant_number":"860801","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"}],"_id":"50479","citation":{"chicago":"Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In The Semantic Web – ISWC 2023, edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, and Juanzi Li, 14265:465–483. Lecture Notes in Computer Science. Cham: Springer, Cham, 2023. https://doi.org/10.1007/978-3-031-47240-4_25.","ieee":"U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,” in The Semantic Web – ISWC 2023, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: 10.1007/978-3-031-47240-4_25.","ama":"Qudus U, Röder M, Kirrane S, Ngomo A-CN. TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds. The Semantic Web – ISWC 2023. Vol 14265. Lecture Notes in Computer Science. Springer, Cham; 2023:465–483. doi:10.1007/978-3-031-47240-4_25","short":"U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.","bibtex":"@inproceedings{Qudus_Röder_Kirrane_Ngomo_2023, place={Cham}, series={ Lecture Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs}, volume={14265}, DOI={10.1007/978-3-031-47240-4_25}, booktitle={The Semantic Web – ISWC 2023}, publisher={Springer, Cham}, author={Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga}, editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}, year={2023}, pages={465–483}, collection={ Lecture Notes in Computer Science} }","mla":"Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” The Semantic Web – ISWC 2023, edited by Terry R. Payne et al., vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:10.1007/978-3-031-47240-4_25.","apa":"Qudus, U., Röder, M., Kirrane, S., & Ngomo, A.-C. N. (2023). TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, & J. Li (Eds.), The Semantic Web – ISWC 2023 (Vol. 14265, pp. 465–483). Springer, Cham. https://doi.org/10.1007/978-3-031-47240-4_25"},"jel":["C"],"page":"465–483","intvolume":" 14265","place":"Cham","publication_status":"published","has_accepted_license":"1","publication_identifier":{"isbn":["9783031472398","9783031472404"],"issn":["0302-9743","1611-3349"]},"doi":"10.1007/978-3-031-47240-4_25","conference":{"end_date":"2023-11-10","location":"Athens, Greece","name":"The Semantic Web – ISWC 2023","start_date":"2023-11-06"},"author":[{"last_name":"Qudus","full_name":"Qudus, Umair","first_name":"Umair"},{"first_name":"Michael","last_name":"Röder","full_name":"Röder, Michael"},{"full_name":"Kirrane, Sabrina","last_name":"Kirrane","first_name":"Sabrina"},{"full_name":"Ngomo, Axel-Cyrille Ngonga","last_name":"Ngomo","first_name":"Axel-Cyrille Ngonga"}],"volume":14265,"date_updated":"2024-01-13T11:48:28Z","file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2024-01-13T11:25:48Z","creator":"uqudus","date_created":"2024-01-13T11:25:48Z","file_size":1944818,"file_id":"50480","access_level":"closed","file_name":"ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf"}],"abstract":[{"lang":"eng","text":"Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents TEMPORALFC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC."}],"publication":"The Semantic Web – ISWC 2023","language":[{"iso":"eng"}],"ddc":["006"],"keyword":["temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs"],"year":"2023","title":"TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs","date_created":"2024-01-13T11:22:15Z","publisher":"Springer, Cham"},{"abstract":[{"text":"Partial coverage of the traditional grid is one of the factors that con-tribute to the low electrical energy access levels in developing countries. This often results in long distances between the grid and unconnected communities. Microgrids, due to their distributed energy resources, have the potential to increase energy access levels. However, there is limited access to microgrids-related knowledge. The knowledge is essential for the effective and efficient use of energy, operation, and hence sustainability of microgrids. To contribute to the sustainability of microgrids, a Virtual and Interactive Microgrids Learning Environment (VIMLE) for microgrids knowledge transfer is developed. VIMLE development is guided by design-based research. With knowledge transfer and skills acquisition through the use of VIMLE, local capacity for designing, installing, operating and maintenance of microgrids is built. Skilled local capacity will contribute to microgrids sustainability. Hence, improve electrical energy access levels and contribute to the achievement of SDG 7.","lang":"eng"}],"publication":"Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems","language":[{"iso":"eng"}],"keyword":["Knowledge Transfer","Microgrids","Sustainability"],"year":"2023","title":"Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa","date_created":"2023-01-11T09:26:40Z","publisher":"Springer Nature","status":"public","editor":[{"last_name":"E. Auer","full_name":"E. Auer, Michael","first_name":"Michael"},{"first_name":"Wolfgang","last_name":"Pachatz","full_name":"Pachatz, Wolfgang"},{"last_name":"Rüütmann","full_name":"Rüütmann, Tiia","first_name":"Tiia"}],"type":"conference","user_id":"88496","department":[{"_id":"300"}],"_id":"35942","citation":{"apa":"Bogere, P., Bode, H., & Temmen, K. (2023). Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa. In M. E. Auer, W. Pachatz, & T. Rüütmann (Eds.), Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems (Vol. 633, pp. 671–679). Springer Nature. https://doi.org/10.1007/978-3-031-26876-2_63","ama":"Bogere P, Bode H, Temmen K. Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa. In: E. Auer M, Pachatz W, Rüütmann T, eds. Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems. Vol 633. Springer Nature; 2023:671-679. doi:https://doi.org/10.1007/978-3-031-26876-2_63","mla":"Bogere, Paul, et al. “Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The Case of East Africa.” Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, edited by Michael E. Auer et al., vol. 633, Springer Nature, 2023, pp. 671–79, doi:https://doi.org/10.1007/978-3-031-26876-2_63.","short":"P. Bogere, H. Bode, K. Temmen, in: M. E. Auer, W. Pachatz, T. Rüütmann (Eds.), Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, Springer Nature, ICL 2022, Wien, 2023, pp. 671–679.","bibtex":"@inproceedings{Bogere_Bode_Temmen_2023, place={ICL 2022, Wien}, title={Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa}, volume={633}, DOI={https://doi.org/10.1007/978-3-031-26876-2_63}, booktitle={Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems}, publisher={Springer Nature}, author={Bogere, Paul and Bode, Henrik and Temmen, Katrin}, editor={E. Auer, Michael and Pachatz, Wolfgang and Rüütmann, Tiia}, year={2023}, pages={671–679} }","ieee":"P. Bogere, H. Bode, and K. Temmen, “Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa,” in Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, Wien, 2023, vol. 633, pp. 671–679, doi: https://doi.org/10.1007/978-3-031-26876-2_63.","chicago":"Bogere, Paul, Henrik Bode, and Katrin Temmen. “Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The Case of East Africa.” In Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems, edited by Michael E. Auer, Wolfgang Pachatz, and Tiia Rüütmann, 633:671–79. ICL 2022, Wien: Springer Nature, 2023. https://doi.org/10.1007/978-3-031-26876-2_63."},"intvolume":" 633","page":"671 - 679","place":"ICL 2022, Wien","publication_status":"published","doi":"https://doi.org/10.1007/978-3-031-26876-2_63","conference":{"end_date":"2022-09-30","location":"Wien","name":"ICL2022","start_date":"2022-09.27"},"author":[{"id":"88496","full_name":"Bogere, Paul","orcid":"0000-0002-7159-5916","last_name":"Bogere","first_name":"Paul"},{"first_name":"Henrik","full_name":"Bode, Henrik","id":"40880","last_name":"Bode"},{"first_name":"Katrin","last_name":"Temmen","full_name":"Temmen, Katrin","id":"30086"}],"volume":633,"date_updated":"2024-06-04T08:40:11Z"},{"main_file_link":[{"open_access":"1"}],"doi":"10.3897/rio.8.e86387","date_updated":"2022-11-22T16:05:00Z","oa":"1","author":[{"first_name":"Isabel","last_name":"Steinhardt","full_name":"Steinhardt, Isabel"},{"full_name":"Kruschick, Felicitas","last_name":"Kruschick","first_name":"Felicitas"}],"volume":8,"citation":{"apa":"Steinhardt, I., & Kruschick, F. (2022). Knowledge Equity and Open Science in qualitative research – Practical research considerations. Research Ideas and Outcomes, 8. https://doi.org/10.3897/rio.8.e86387","mla":"Steinhardt, Isabel, and Felicitas Kruschick. “Knowledge Equity and Open Science in Qualitative Research – Practical Research Considerations.” Research Ideas and Outcomes, vol. 8, Pensoft Publishers, 2022, doi:10.3897/rio.8.e86387.","short":"I. Steinhardt, F. Kruschick, Research Ideas and Outcomes 8 (2022).","bibtex":"@article{Steinhardt_Kruschick_2022, title={Knowledge Equity and Open Science in qualitative research – Practical research considerations}, volume={8}, DOI={10.3897/rio.8.e86387}, journal={Research Ideas and Outcomes}, publisher={Pensoft Publishers}, author={Steinhardt, Isabel and Kruschick, Felicitas}, year={2022} }","ama":"Steinhardt I, Kruschick F. Knowledge Equity and Open Science in qualitative research – Practical research considerations. Research Ideas and Outcomes. 2022;8. doi:10.3897/rio.8.e86387","ieee":"I. Steinhardt and F. Kruschick, “Knowledge Equity and Open Science in qualitative research – Practical research considerations,” Research Ideas and Outcomes, vol. 8, 2022, doi: 10.3897/rio.8.e86387.","chicago":"Steinhardt, Isabel, and Felicitas Kruschick. “Knowledge Equity and Open Science in Qualitative Research – Practical Research Considerations.” Research Ideas and Outcomes 8 (2022). https://doi.org/10.3897/rio.8.e86387."},"intvolume":" 8","publication_status":"published","publication_identifier":{"issn":["2367-7163"]},"article_type":"original","_id":"34132","user_id":"90339","department":[{"_id":"477"}],"status":"public","type":"journal_article","title":"Knowledge Equity and Open Science in qualitative research – Practical research considerations","publisher":"Pensoft Publishers","date_created":"2022-11-22T15:55:11Z","year":"2022","quality_controlled":"1","keyword":["Open Science","Knowledge Equity","Qualitative Methods"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"How can Knowledge In/Equity be addressed in qualitative research by taking the idea of Open Science into account? Two projects from the Open Science Fellows Programme by Wikimedia Deutschland will be used to illustrate how Open Science practices can succeed in qualitative research, thereby reducing In/Equity. In this context, In/Equity is considered as a fair and equal representation of people, their knowledge and insights and comprehends questions about how epistemic, structural, institutional and personal biases generate and shape knowledge as guidance. Three questions guide this approach: firstly, what do we understand by In/Equity in the context of knowledge production in these projects? Secondly, who will be involved in knowledge generation and to what extent will they be valued or unvalued? Thirdly, how can data be made accessible for re-use to enable true participation and sharing?"}],"publication":"Research Ideas and Outcomes"},{"title":"Chatbot-Enhanced Requirements Resolution for Automated Service Compositions","date_created":"2022-06-27T09:27:06Z","publisher":"Springer International Publishing","year":"2022","language":[{"iso":"eng"}],"ddc":["004"],"keyword":["On-The-Fly Computing","Chatbot","Knowledge Base"],"file":[{"access_level":"closed","file_name":"Kersting et al. (2022), Kersting2022.pdf","file_id":"34150","file_size":1153017,"creator":"jkers","date_created":"2022-11-28T13:21:32Z","date_updated":"2022-11-28T13:21:32Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"abstract":[{"text":"This work addresses the automatic resolution of software requirements. In the vision of On-The-Fly Computing, software services should be composed on demand, based solely on natural language input from human users. To enable this, we build a chatbot solution that works with human-in-the-loop support to receive, analyze, correct, and complete their software requirements. The chatbot is equipped with a natural language processing pipeline and a large knowledge base, as well as sophisticated dialogue management skills to enhance the user experience. Previous solutions have focused on analyzing software requirements to point out errors such as vagueness, ambiguity, or incompleteness. Our work shows how apps can collaborate with users to efficiently produce correct requirements. We developed and compared three different chatbot apps that can work with built-in knowledge. We rely on ChatterBot, DialoGPT and Rasa for this purpose. While DialoGPT provides its own knowledge base, Rasa is the best system to combine the text mining and knowledge solutions at our disposal. The evaluation shows that users accept 73% of the suggested answers from Rasa, while they accept only 63% from DialoGPT or even 36% from ChatterBot.","lang":"eng"}],"publication":"HCI International 2022 Posters","conference":{"location":"Virtual","end_date":"2022-07-01","start_date":"2022-06-26","name":"24th International Conference on Human-Computer Interaction (HCII 2022)"},"doi":"10.1007/978-3-031-06417-3_56","author":[{"last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701","first_name":"Joschka"},{"full_name":"Ahmed, Mobeen","last_name":"Ahmed","first_name":"Mobeen"},{"full_name":"Geierhos, Michaela","id":"42496","orcid":"0000-0002-8180-5606","last_name":"Geierhos","first_name":"Michaela"}],"volume":1580,"date_updated":"2022-11-28T13:22:16Z","citation":{"ieee":"J. Kersting, M. Ahmed, and M. Geierhos, “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions,” in HCI International 2022 Posters, vol. 1580, C. Stephanidis, M. Antona, and S. Ntoa, Eds. Cham, Switzerland: Springer International Publishing, 2022, pp. 419--426.","chicago":"Kersting, Joschka, Mobeen Ahmed, and Michaela Geierhos. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” In HCI International 2022 Posters, edited by Constantine Stephanidis, Margherita Antona, and Stavroula Ntoa, 1580:419--426. Communications in Computer and Information Science (CCIS). Cham, Switzerland: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-06417-3_56.","ama":"Kersting J, Ahmed M, Geierhos M. Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In: Stephanidis C, Antona M, Ntoa S, eds. HCI International 2022 Posters. Vol 1580. Communications in Computer and Information Science (CCIS). Springer International Publishing; 2022:419--426. doi:10.1007/978-3-031-06417-3_56","apa":"Kersting, J., Ahmed, M., & Geierhos, M. (2022). Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In C. Stephanidis, M. Antona, & S. Ntoa (Eds.), HCI International 2022 Posters (Vol. 1580, pp. 419--426). Springer International Publishing. https://doi.org/10.1007/978-3-031-06417-3_56","mla":"Kersting, Joschka, et al. “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions.” HCI International 2022 Posters, edited by Constantine Stephanidis et al., vol. 1580, Springer International Publishing, 2022, pp. 419--426, doi:10.1007/978-3-031-06417-3_56.","bibtex":"@inbook{Kersting_Ahmed_Geierhos_2022, place={Cham, Switzerland}, series={Communications in Computer and Information Science (CCIS)}, title={Chatbot-Enhanced Requirements Resolution for Automated Service Compositions}, volume={1580}, DOI={10.1007/978-3-031-06417-3_56}, booktitle={HCI International 2022 Posters}, publisher={Springer International Publishing}, author={Kersting, Joschka and Ahmed, Mobeen and Geierhos, Michaela}, editor={Stephanidis, Constantine and Antona, Margherita and Ntoa, Stavroula}, year={2022}, pages={419--426}, collection={Communications in Computer and Information Science (CCIS)} }","short":"J. Kersting, M. Ahmed, M. Geierhos, in: C. Stephanidis, M. Antona, S. Ntoa (Eds.), HCI International 2022 Posters, Springer International Publishing, Cham, Switzerland, 2022, pp. 419--426."},"intvolume":" 1580","page":"419--426","place":"Cham, Switzerland","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007/978-3-031-06417-3_56"}]},"publication_status":"published","has_accepted_license":"1","publication_identifier":{"isbn":["9783031064166","9783031064173"],"issn":["1865-0929","1865-0937"]},"file_date_updated":"2022-11-28T13:21:32Z","user_id":"58701","series_title":"Communications in Computer and Information Science (CCIS)","department":[{"_id":"579"}],"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"_id":"32179","status":"public","editor":[{"first_name":"Constantine","last_name":"Stephanidis","full_name":"Stephanidis, Constantine"},{"first_name":"Margherita","last_name":"Antona","full_name":"Antona, Margherita"},{"first_name":"Stavroula","full_name":"Ntoa, Stavroula","last_name":"Ntoa"}],"type":"book_chapter"},{"date_updated":"2023-01-06T12:08:14Z","publisher":"Universitätsbibliothek Graz","date_created":"2023-01-03T12:41:20Z","author":[{"full_name":"Caruso, Carina","id":"23123","last_name":"Caruso","first_name":"Carina"},{"first_name":"Andreas","last_name":"Seifert","full_name":"Seifert, Andreas"}],"volume":30,"title":" Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?","doi":"10.30:2022.1.14","publication_status":"published","publication_identifier":{"issn":["1018-1539"]},"issue":"1","year":"2022","citation":{"ama":"Caruso C, Seifert A. Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? Österreichische Religionspädagogische Forum. 2022;30(1):239-260. doi:10.30:2022.1.14","ieee":"C. Caruso and A. Seifert, “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?,” Österreichische Religionspädagogische Forum, vol. 30, no. 1, pp. 239–260, 2022, doi: 10.30:2022.1.14.","chicago":"Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” Österreichische Religionspädagogische Forum 30, no. 1 (2022): 239–60. https://doi.org/10.30:2022.1.14.","short":"C. Caruso, A. Seifert, Österreichische Religionspädagogische Forum 30 (2022) 239–260.","mla":"Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” Österreichische Religionspädagogische Forum, vol. 30, no. 1, Universitätsbibliothek Graz, 2022, pp. 239–60, doi:10.30:2022.1.14.","bibtex":"@article{Caruso_Seifert_2022, title={ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?}, volume={30}, DOI={10.30:2022.1.14}, number={1}, journal={Österreichische Religionspädagogische Forum}, publisher={Universitätsbibliothek Graz}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={239–260} }","apa":"Caruso, C., & Seifert, A. (2022). Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? Österreichische Religionspädagogische Forum, 30(1), 239–260. https://doi.org/10.30:2022.1.14"},"intvolume":" 30","page":"239-260","_id":"35136","user_id":"86519","keyword":["Bildungswissenschaftliches Wissen","Kompetenzmessung","Kompetenzselbsteinschätzung","Praxissemester","Professionalisierung / competence measurement","competence self-assessment","educational knowledge","internship","professionalization"],"alternative_title":["Ergebnisse der Messung pädagogischer Kompetenzen Studierender in Deutschland"],"language":[{"iso":"ger"}],"type":"journal_article","publication":"Österreichische Religionspädagogische Forum","abstract":[{"lang":"ger","text":"Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender der Theologie, die das Praxissemester in Deutschland absolviert haben. Das bildungswissenschaftliche Wissen, Kompetenzselbsteinschätzungen und ihre Entwicklung sowie die Einschätzung der im Praxissemester erreichten Ziele Studierender werden dabei unter Berücksichtigung der Ausrichtung des Lehramtsstudiums auf eine Schulform betrachtet. Um die Ergebnisse der Messung bildungswissenschaftlichen Wissens und die der Messung von Kompetenzselbsteinschätzungen zu kontextualisieren (N = 304), wird zuerst die Relevanz des (bildungswissenschaftlichen) Wissens als Ausgangspunkt des Könnens herausgearbeitet. Daran anschließend werden Befunde zur schulformspezifischen Professionalisierung resümiert. Anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorge- stellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen wider Erwarten, dass sich weder das bildungswissenschaftliche Wissen, die Kompetenzselbsteinschätzungen und ihre Entwicklung noch die Einschätzung der im Praxissemester erreichten Ziele angehender Lehrkräfte in Abhängigkeit der Schulformen unterscheiden. Die Diskussion bezieht sich u.a. auf die Struktur der Lehramtsstudiengänge, die Denkfiguren zur Entwicklung von Können und die Konzeption der Messinstrumente.\r\n"},{"lang":"eng","text":"The focus of this article are the results of the measurement of pedagogical competencies of students of theology who have completed an internship in Germany. The educational knowledge, competence self-assessments and their development as well as the assessment of the goals achieved by students in the internship are considered, taking into account the orientation of the teacher education course towards a school type. In order to contextualize the results of the measurement of educational knowledge and those of the survey of competence self-assessments (N = 304), ideas are shown how the relationship between knowledge and ability is constituted and findings on the type of school-specific professionalization are summarized. Subsequently, hypotheses are derived, the design of the study, the method and the test instruments are described, the results are presented and discussed. Contrary to expectations, the results show that neither the educational science knowledge, the competence self-assessments and their development nor the assessment of the goals achieved in the internship by pros- pective teachers differ depending on the type of school. The discussion relates to on the structure of the teacher training courses, the mental figures for the development of skills and the conception of the measuring instruments.\r\n"}],"status":"public"},{"title":"Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen","doi":"10.20377/rpb-101","publisher":"University of Bamberg Press","date_updated":"2023-01-06T12:21:07Z","volume":45,"date_created":"2023-01-03T12:45:09Z","author":[{"last_name":"Caruso","id":"23123","full_name":"Caruso, Carina","first_name":"Carina"},{"first_name":"Andreas","full_name":"Seifert, Andreas","last_name":"Seifert"}],"year":"2022","page":"3-15","intvolume":" 45","citation":{"apa":"Caruso, C., & Seifert, A. (2022). Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. Religionspädagogische Beiträge. Journal for Religion in Education , 45(1), 3–15. https://doi.org/10.20377/rpb-101","short":"C. Caruso, A. Seifert, Religionspädagogische Beiträge. Journal for Religion in Education 45 (2022) 3–15.","mla":"Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” Religionspädagogische Beiträge. Journal for Religion in Education , vol. 45, no. 1, University of Bamberg Press, 2022, pp. 3–15, doi:10.20377/rpb-101.","bibtex":"@article{Caruso_Seifert_2022, title={Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen}, volume={45}, DOI={10.20377/rpb-101}, number={1}, journal={Religionspädagogische Beiträge. Journal for Religion in Education }, publisher={University of Bamberg Press}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={3–15} }","ama":"Caruso C, Seifert A. Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. Religionspädagogische Beiträge Journal for Religion in Education . 2022;45(1):3-15. doi:10.20377/rpb-101","ieee":"C. Caruso and A. Seifert, “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen,” Religionspädagogische Beiträge. Journal for Religion in Education , vol. 45, no. 1, pp. 3–15, 2022, doi: 10.20377/rpb-101.","chicago":"Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” Religionspädagogische Beiträge. Journal for Religion in Education 45, no. 1 (2022): 3–15. https://doi.org/10.20377/rpb-101."},"publication_identifier":{"issn":["2750 - 3941"]},"publication_status":"published","issue":"1","keyword":["Bildungswissenschaftliches Wissen","Kompetenzmessung","Kompetenzselbsteinschätzung","Praxissemester","Professionalisierung / competence measurement","competence self-assessment","educational knowledge","internship","professionalization"],"language":[{"iso":"ger"}],"_id":"35137","user_id":"86519","abstract":[{"lang":"ger","text":"Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender. Dabei werden sowohl das bildungswissenschaftliche Wissen als auch die Entwicklung der Kompetenzselbsteinschätzungen in den Bereichen Unterrichten, Erziehen, Beurteilen und Innovieren unter Berücksichtigung individueller Voraussetzungen (Alter, Geschlecht, Abiturnote, Bachelornote, Konfession) betrachtet. Um die Ergebnisse hinsichtlich ihrer Bedeutung für die Professionalisierung angehender Lehrkräfte diskutieren zu können, wird, den empirischen Erkenntnissen voranstehend, die Bedeutung von Wissen für berufliches Können herausgearbeitet. Daran anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorgestellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen, dass die Abitur- und Bachelornote die Varianz hinsichtlich des pädagogischen Wissens aufklären, sich eine signifikante Entwicklung der Kompetenzselbsteinschätzungen angehender Lehrkräfte feststellen lässt, aber sich angehende Religionslehrkräfte kaum von anderen Studierenden unterscheiden. Die Diskussion nimmt u. a. Rückbezug auf die Denkfiguren zur Entwicklung beruflichen Könnens und benennt Limitationen, die mit der Studie und Kompetenzmessungen verbunden sind. Daran schließt die Formulierung eines Ausblicks an. Der Beitrag zielt insbesondere darauf, repräsentative Ergebnisse der Kompetenzmessung zu präsentieren und dabei potenzielle Einflussfaktoren auf die studentische Kompetenzentwicklung zu beleuchten. Ein dadurch angereichertes Konglomerat belastbarer Erkenntnisse zielt darauf, langfristig zur Ableitung lehrerbildungsdidaktischer Überlegungen herangezogen werden zu können, die die studentische Professionalisierung unterstützen."},{"text":"This paper focuses on the results of the measurement of pedagogical competences of students. In doing so, both the knowledge of the educational sciences and the development of competence self-assessments in the fields of teaching, education, assessment andinnovating are taken into account. The study makes use of the following individual requirements: age, sex, Abitur grade, Bachelor grade, Confession. In order to be able to discuss the re-sults regarding their importance for the professionalization of prospective teachers, the importance of knowledge for professional skills is highlighted, preceded by empirical findings. Subsequently, hypotheses are derived, the plan of the study as well as the test instruments are presented, the results presented and discussed. The results show that the Abitur and Bachelor grades clarify the variance in pedagogical knowledge, that there is a significant development in the competence self-assessments of prospective teachers, and that prospective religious teachers are not different from other students. The discussion takes into account, among other things, the ideas for the devel-opment of professional skills and identifies limitations associated with the study. This is followed by the formula-tion of an outlook. The main aim of the paper is to present representative results of the competence measurement and to examine potential influencing factors on student competence development. A conglomerate of resilient knowledge enriched by this aims to be used in the long term to derive teacher training didactic considerations that support student professionalization.","lang":"eng"}],"status":"public","publication":"Religionspädagogische Beiträge. Journal for Religion in Education ","type":"journal_article"},{"year":"2022","quality_controlled":"1","title":"Knowledge Equity and Open Science in qualitative research – Practical research considerations","date_created":"2023-01-13T08:33:03Z","publisher":"Pensoft Publishers","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_id":"36525","file_name":"2022 Steinhardt, Kruschick Knowledge Equity.pdf","access_level":"closed","file_size":208525,"date_created":"2023-01-13T08:39:48Z","creator":"isste","date_updated":"2023-01-13T08:39:48Z"}],"abstract":[{"text":"How can Knowledge In/Equity be addressed in qualitative research by taking the idea of Open Science into account? Two projects from the Open Science Fellows Programme by Wikimedia Deutschland will be used to illustrate how Open Science practices can succeed in qualitative research, thereby reducing In/Equity. In this context, In/Equity is considered as a fair and equal representation of people, their knowledge and insights and comprehends questions about how epistemic, structural, institutional and personal biases generate and shape knowledge as guidance. Three questions guide this approach: firstly, what do we understand by In/Equity in the context of knowledge production in these projects? Secondly, who will be involved in knowledge generation and to what extent will they be valued or unvalued? Thirdly, how can data be made accessible for re-use to enable true participation and sharing?","lang":"eng"}],"publication":"Research Ideas and Outcomes","language":[{"iso":"eng"}],"keyword":["Open Science","Knowledge Equity","Qualitative Methods"],"ddc":["300"],"page":"e86387","intvolume":" 8","citation":{"apa":"Steinhardt, I., & Kruschick, F. (2022). Knowledge Equity and Open Science in qualitative research – Practical research considerations. Research Ideas and Outcomes, 8, e86387. https://doi.org/10.3897/rio.8.e86387","mla":"Steinhardt, Isabel, and Felicitas Kruschick. “Knowledge Equity and Open Science in Qualitative Research – Practical Research Considerations.” Research Ideas and Outcomes, vol. 8, Pensoft Publishers, 2022, p. e86387, doi:10.3897/rio.8.e86387.","bibtex":"@article{Steinhardt_Kruschick_2022, title={Knowledge Equity and Open Science in qualitative research – Practical research considerations}, volume={8}, DOI={10.3897/rio.8.e86387}, journal={Research Ideas and Outcomes}, publisher={Pensoft Publishers}, author={Steinhardt, Isabel and Kruschick, Felicitas}, year={2022}, pages={e86387} }","short":"I. Steinhardt, F. Kruschick, Research Ideas and Outcomes 8 (2022) e86387.","ama":"Steinhardt I, Kruschick F. Knowledge Equity and Open Science in qualitative research – Practical research considerations. Research Ideas and Outcomes. 2022;8:e86387. doi:10.3897/rio.8.e86387","chicago":"Steinhardt, Isabel, and Felicitas Kruschick. “Knowledge Equity and Open Science in Qualitative Research – Practical Research Considerations.” Research Ideas and Outcomes 8 (2022): e86387. https://doi.org/10.3897/rio.8.e86387.","ieee":"I. Steinhardt and F. Kruschick, “Knowledge Equity and Open Science in qualitative research – Practical research considerations,” Research Ideas and Outcomes, vol. 8, p. e86387, 2022, doi: 10.3897/rio.8.e86387."},"has_accepted_license":"1","publication_identifier":{"issn":["2367-7163"]},"publication_status":"published","doi":"10.3897/rio.8.e86387","main_file_link":[{"url":"https://riojournal.com/article/86387/","open_access":"1"}],"volume":8,"author":[{"first_name":"Isabel","last_name":"Steinhardt","orcid":"https://orcid.org/0000-0002-2590-6189","id":"90339","full_name":"Steinhardt, Isabel"},{"first_name":"Felicitas","last_name":"Kruschick","full_name":"Kruschick, Felicitas"}],"oa":"1","date_updated":"2023-01-13T08:41:34Z","status":"public","type":"journal_article","file_date_updated":"2023-01-13T08:39:48Z","article_type":"original","department":[{"_id":"121"}],"user_id":"90339","_id":"36524"},{"conference":{"location":"Stuttgart","end_date":"2022-09-09","start_date":"2022-09-06","name":"ETFA"},"doi":"10.1109/ETFA52439.2022.9921520","title":"AI-Based Assistance System for Manufacturing","date_created":"2022-10-28T11:43:49Z","author":[{"full_name":"Deppe, Sahar","last_name":"Deppe","first_name":"Sahar"},{"first_name":"Lukas","full_name":"Brandt, Lukas","last_name":"Brandt"},{"first_name":"Marc","last_name":"Brünninghaus","full_name":"Brünninghaus, Marc"},{"last_name":"Papenkordt","full_name":"Papenkordt, Jörg","id":"44648","first_name":"Jörg"},{"first_name":"Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","full_name":"Heindorf, Stefan","id":"11871"},{"full_name":"Tschirner-Vinke, Gudrun","last_name":"Tschirner-Vinke","first_name":"Gudrun"}],"date_updated":"2023-11-23T08:07:51Z","citation":{"ama":"Deppe S, Brandt L, Brünninghaus M, Papenkordt J, Heindorf S, Tschirner-Vinke G. AI-Based Assistance System for Manufacturing. Published online 2022. doi:10.1109/ETFA52439.2022.9921520","ieee":"S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G. Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: 10.1109/ETFA52439.2022.9921520.","chicago":"Deppe, Sahar, Lukas Brandt, Marc Brünninghaus, Jörg Papenkordt, Stefan Heindorf, and Gudrun Tschirner-Vinke. “AI-Based Assistance System for Manufacturing.” 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022. https://doi.org/10.1109/ETFA52439.2022.9921520.","bibtex":"@article{Deppe_Brandt_Brünninghaus_Papenkordt_Heindorf_Tschirner-Vinke_2022, series={2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}, title={AI-Based Assistance System for Manufacturing}, DOI={10.1109/ETFA52439.2022.9921520}, author={Deppe, Sahar and Brandt, Lukas and Brünninghaus, Marc and Papenkordt, Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}, year={2022}, collection={2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)} }","mla":"Deppe, Sahar, et al. AI-Based Assistance System for Manufacturing. 2022, doi:10.1109/ETFA52439.2022.9921520.","short":"S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, G. Tschirner-Vinke, (2022).","apa":"Deppe, S., Brandt, L., Brünninghaus, M., Papenkordt, J., Heindorf, S., & Tschirner-Vinke, G. (2022). AI-Based Assistance System for Manufacturing. ETFA, Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921520"},"year":"2022","related_material":{"link":[{"url":"https://ieeexplore.ieee.org/document/9921520","relation":"confirmation"}]},"language":[{"iso":"eng"}],"keyword":["Assistance system","Knowledge graph","Information retrieval","Neural networks","AR"],"department":[{"_id":"178"},{"_id":"574"},{"_id":"184"}],"user_id":"44648","series_title":"2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)","_id":"33957","project":[{"grant_number":"02L19C115","name":"KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands in OstWestfalenLippe","_id":"409"}],"status":"public","abstract":[{"lang":"eng","text":"Manufacturing companies are challenged to make the increasingly complex work processes equally manageable for all employees to prevent an impending loss of competence. In this contribution, an intelligent assistance system is proposed enabling employees to help themselves in the workplace and provide them with competence-related support. This results in increasing the short- and long-term efficiency of problem solving in companies."}],"type":"conference"},{"user_id":"83392","department":[{"_id":"34"}],"project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"}],"_id":"32509","file_date_updated":"2022-12-22T15:45:29Z","popular_science":"1","type":"conference","status":"public","editor":[{"full_name":"Sattler, Ulrike","last_name":"Sattler","first_name":"Ulrike"},{"full_name":"Hogan, Aidan","last_name":"Hogan","first_name":"Aidan"},{"full_name":"Keet, Maria","last_name":"Keet","first_name":"Maria"},{"last_name":"Presutti","full_name":"Presutti, Valentina","first_name":"Valentina"}],"author":[{"last_name":"Qudus","orcid":"0000-0001-6714-8729","full_name":"Qudus, Umair","id":"83392","first_name":"Umair"},{"id":"67199","full_name":"Röder, Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","first_name":"Michael"},{"first_name":"Muhammad","last_name":"Saleem","full_name":"Saleem, Muhammad"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_updated":"2025-09-11T09:37:16Z","doi":"10.1007/978-3-031-19433-7_27","conference":{"end_date":"2022-10-27","location":"Hanghzou, China","name":"International Semantic Web Conference (ISWC)","start_date":"2022-10-23"},"publication_status":"accepted","has_accepted_license":"1","publication_identifier":{"isbn":["978-3-031-19433-7"]},"citation":{"mla":"Qudus, Umair, et al. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” The Semantic Web -- ISWC 2022, edited by Ulrike Sattler et al., Springer International Publishing, pp. 462--480, doi:10.1007/978-3-031-19433-7_27.","bibtex":"@inproceedings{Qudus_Röder_Saleem_Ngonga Ngomo, place={Cham}, title={HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs}, DOI={10.1007/978-3-031-19433-7_27}, booktitle={The Semantic Web -- ISWC 2022}, publisher={Springer International Publishing}, author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, editor={Sattler, Ulrike and Hogan, Aidan and Keet, Maria and Presutti, Valentina}, pages={462--480} }","short":"U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, in: U. Sattler, A. Hogan, M. Keet, V. Presutti (Eds.), The Semantic Web -- ISWC 2022, Springer International Publishing, Cham, n.d., pp. 462--480.","apa":"Qudus, U., Röder, M., Saleem, M., & Ngonga Ngomo, A.-C. (n.d.). HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In U. Sattler, A. Hogan, M. Keet, & V. Presutti (Eds.), The Semantic Web -- ISWC 2022 (pp. 462--480). Springer International Publishing. https://doi.org/10.1007/978-3-031-19433-7_27","ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In: Sattler U, Hogan A, Keet M, Presutti V, eds. The Semantic Web -- ISWC 2022. Springer International Publishing; :462--480. doi:10.1007/978-3-031-19433-7_27","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” In The Semantic Web -- ISWC 2022, edited by Ulrike Sattler, Aidan Hogan, Maria Keet, and Valentina Presutti, 462--480. Cham: Springer International Publishing, n.d. https://doi.org/10.1007/978-3-031-19433-7_27.","ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs,” in The Semantic Web -- ISWC 2022, Hanghzou, China, pp. 462--480, doi: 10.1007/978-3-031-19433-7_27."},"page":"462--480","place":"Cham","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["fact checking · ensemble learning · knowledge graph veracit"],"publication":"The Semantic Web -- ISWC 2022","file":[{"date_updated":"2022-12-22T15:45:29Z","date_created":"2022-12-22T15:45:29Z","creator":"uqudus","file_size":296218,"file_id":"34853","file_name":"hybrid_fact_check_iswc2022.pdf","access_level":"closed","content_type":"application/pdf","success":1,"relation":"main_file"}],"abstract":[{"lang":"eng","text":" We consider fact-checking approaches that aim to predict the veracity of assertions in knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs have been proposed in the recent literature, of\r\nwhich each is subject to partially overlapping limitations. In particular, current text-based approaches are limited by manual feature engineering. Path-based and rule-based approaches are limited by their exclusive use of knowledge graphs as background knowledge, and embedding-based approaches suffer from low accuracy scores on current fact-checking tasks. We propose a hybrid approach—dubbed HybridFC—that exploits the diversity of existing categories of fact-checking approaches within an ensemble learning setting to achieve a significantly better prediction performance. In particular, our approach outperforms the state of the art by 0.14 to 0.27 in terms of Area Under the Receiver Operating Characteristic curve on the FactBench dataset. Our code is open-source and can be found at https://github.com/dice-group/HybridFC."}],"date_created":"2022-08-02T11:56:03Z","publisher":"Springer International Publishing","title":"HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs","quality_controlled":"1","year":"2022"},{"date_updated":"2023-06-20T19:04:34Z","author":[{"last_name":"Bruns","orcid":"https://orcid.org/0000-0002-6604-5864","full_name":"Bruns, Julia","id":"72183","first_name":"Julia"},{"last_name":"Gasteiger","full_name":"Gasteiger, Hedwig","first_name":"Hedwig"},{"first_name":"Carolin","last_name":"Strahl","full_name":"Strahl, Carolin"}],"volume":9,"doi":"10.1002/rev3.3255","publication_status":"published","publication_identifier":{"issn":["2049-6613"]},"citation":{"chicago":"Bruns, Julia, Hedwig Gasteiger, and Carolin Strahl. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education 9, no. 2 (2021): 500–538. https://doi.org/10.1002/rev3.3255.","ieee":"J. Bruns, H. Gasteiger, and C. Strahl, “Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review,” Review of Education, vol. 9, no. 2, pp. 500–538, 2021, doi: 10.1002/rev3.3255.","ama":"Bruns J, Gasteiger H, Strahl C. Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education. 2021;9(2):500-538. doi:10.1002/rev3.3255","apa":"Bruns, J., Gasteiger, H., & Strahl, C. (2021). Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education, 9(2), 500–538. https://doi.org/10.1002/rev3.3255","mla":"Bruns, Julia, et al. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education, vol. 9, no. 2, Wiley, 2021, pp. 500–38, doi:10.1002/rev3.3255.","short":"J. Bruns, H. Gasteiger, C. Strahl, Review of Education 9 (2021) 500–538.","bibtex":"@article{Bruns_Gasteiger_Strahl_2021, title={Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review}, volume={9}, DOI={10.1002/rev3.3255}, number={2}, journal={Review of Education}, publisher={Wiley}, author={Bruns, Julia and Gasteiger, Hedwig and Strahl, Carolin}, year={2021}, pages={500–538} }"},"page":"500-538","intvolume":" 9","_id":"34822","user_id":"49063","department":[{"_id":"611"},{"_id":"97"}],"isi":"1","article_type":"review","type":"journal_article","status":"public","publisher":"Wiley","date_created":"2022-12-22T09:22:46Z","title":"Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review","quality_controlled":"1","issue":"2","year":"2021","external_id":{"isi":["000614156400001"]},"keyword":["content knowledge","domain-specific learning","early childhood education","teacher knowledge"],"language":[{"iso":"eng"}],"publication":"Review of Education","abstract":[{"lang":"eng","text":"The role of domain-specific content knowledge is discussed controversially for the early childhood context. Therefore, this review aims at untangling the research on domain-specific content knowledge for early childhood educators by systematically reviewing the conceptual and operational definition of and results on early childhood educators' content knowledge in different domains. Using the scientific databases ERIC, PsycInfo and Web of Sciences, we identified 36 studies on early childhood educators' domain-specific content knowledge. By comparing these studies, we found that conceptualizations of early childhood educators' content knowledge move on a continuum between a scientific related perspective and a practice related perspective. The scientific related perspective defines content knowledge as the knowledge of key concepts, facts and rules of the domain integrating knowledge taught in primary, secondary or upper secondary school. The practice related perspective includes knowledge of key concepts, facts and rules of the domain limited to the knowledge explicitly relevant for teaching in early childhood education as well as selected domain-specific knowledge of children and teaching. Our review shows that the results and implications drawn by the study authors depend on how these authors conceptualize early childhood educators' content knowledge on this continuum. Further research, therefore, needs to consider carefully how early childhood educators' content knowledge is conceptualized. The paper further discusses gaps in this research field, such as validating methods for measuring early childhood educators' content knowledge or implementing more rigorous experimental designs to examine effects of early childhood educators' content knowledge."}]},{"file_date_updated":"2020-05-19T15:09:28Z","language":[{"iso":"eng"}],"keyword":["Scientific impact","knowledge impact","content-based citation analysis","methodology"],"ddc":["000"],"department":[{"_id":"277"}],"user_id":"61579","_id":"17019","status":"public","file":[{"content_type":"application/pdf","relation":"main_file","date_updated":"2020-05-19T15:09:28Z","creator":"hsiemes","date_created":"2020-05-19T15:09:28Z","file_size":487351,"access_level":"open_access","file_name":"SSRN-id3581789.pdf","file_id":"17020"}],"abstract":[{"text":"The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization.","lang":"eng"}],"type":"working_paper","main_file_link":[{"url":"https://ssrn.com/abstract=3581789","open_access":"1"}],"title":"Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre","date_created":"2020-05-19T15:12:33Z","author":[{"first_name":"Guido","full_name":"Schryen, Guido","id":"72850","last_name":"Schryen"},{"first_name":"Gerit","full_name":"Wagner, Gerit","last_name":"Wagner"},{"last_name":"Benlian","full_name":"Benlian, Alexander","first_name":"Alexander"}],"date_updated":"2022-01-06T06:53:02Z","oa":"1","citation":{"ama":"Schryen G, Wagner G, Benlian A. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre.; 2020.","chicago":"Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.","ieee":"G. Schryen, G. Wagner, and A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.","mla":"Schryen, Guido, et al. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre. 2020.","bibtex":"@book{Schryen_Wagner_Benlian_2020, title={Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre}, author={Schryen, Guido and Wagner, Gerit and Benlian, Alexander}, year={2020} }","short":"G. Schryen, G. Wagner, A. Benlian, Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.","apa":"Schryen, G., Wagner, G., & Benlian, A. (2020). Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre."},"year":"2020","has_accepted_license":"1"}]