--- _id: '61463' abstract: - lang: ger 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: eng 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. article_type: original author: - first_name: Ronja full_name: Hannebohm, Ronja id: '27419' last_name: Hannebohm citation: 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' 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' 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} }' 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.' 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.' 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.' short: 'R. Hannebohm, die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre 12 (2026) 65–80.' date_created: 2025-09-29T12:34:48Z date_updated: 2026-02-03T10:59:36Z department: - _id: '116' doi: 10.3278/HSL2606W intvolume: ' 12' keyword: - Portfolioarbeit - portfolio work - vernetztes Wissen - knowledge networks - Beobachtung - naturalistic observation - Inhaltsanalyse - content analysis language: - iso: ger main_file_link: - open_access: '1' url: https://www.wbv.de/shop/Paderborner-Beitraege-2025-HSLT2601W oa: '1' page: 65-80 publication: 'die hochschullehre: Interdisziplinäre Zeitschrift für Studium und Lehre' publication_identifier: issn: - 2199–8825 publication_status: published publisher: wbv quality_controlled: '1' status: public title: 'Potenziale der Portfolioarbeit für den Aufbau vernetzten Wissens im Bachelorstudium: Eine Explorationsstudie im Studienfach Komparatistik/Vergleichende Literatur- und Kulturwissenschaft' type: journal_article user_id: '27419' volume: 12 year: '2026' ... --- _id: '58885' 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.' article_type: original author: - first_name: Jannis full_name: Zeller, Jannis id: '99022' last_name: Zeller orcid: 0000-0002-1834-5520 - first_name: Josef full_name: Riese, Josef id: '429' last_name: Riese orcid: 0000-0003-2927-2619 citation: 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' 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' 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} }' 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.' 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). date_created: 2025-03-04T08:08:37Z date_updated: 2025-03-04T08:08:42Z department: - _id: '299' doi: 10.1002/tea.70001 keyword: - computational grounded theory - language analysis - machine learning - pedagogical content knowledge - unsupervised learning language: - iso: eng main_file_link: - open_access: '1' url: https://onlinelibrary.wiley.com/doi/epdf/10.1002/tea.70001 oa: '1' publication: Journal of Research in Science Teaching publication_identifier: eissn: - 1098-2736 issn: - 0022-4308 publication_status: published status: public title: 'Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?' type: journal_article user_id: '99022' year: '2025' ... --- _id: '60958' abstract: - lang: eng 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. author: - first_name: Katharina full_name: Brennig, Katharina last_name: Brennig citation: 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.' 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.' 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} }' 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.' 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.' 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.' short: 'K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.' conference: end_date: 2025-08-16 location: Montréal name: Americas Conference on Information Systems start_date: 2025-08-14 date_created: 2025-08-20T07:03:37Z date_updated: 2025-08-20T07:06:16Z department: - _id: '196' keyword: - Process Mining - Large Language Model - Knowledge Management - Knowledge-Intensive Process - Tacit Knowledge language: - iso: eng main_file_link: - url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/ publication: AMCIS 2025 Proceedings. 11. related_material: link: - relation: confirmation url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/ status: public title: 'Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes' type: conference user_id: '51905' year: '2025' ... --- _id: '61123' abstract: - lang: eng 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. article_number: '3749838' article_type: original author: - first_name: Umair full_name: Qudus, Umair id: '83392' last_name: Qudus orcid: 0000-0001-6714-8729 - first_name: Michael full_name: Röder, Michael id: '67199' last_name: Röder orcid: https://orcid.org/0000-0002-8609-8277 - first_name: Muhammad full_name: Saleem, Muhammad last_name: Saleem - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: 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 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 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} }' 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. 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.' 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). date_created: 2025-09-03T15:46:43Z date_updated: 2025-09-11T09:30:28Z ddc: - '006' department: - _id: '574' doi: 10.1145/3749838 external_id: unknown: - 10.1145/3749838 file: - access_level: closed content_type: application/pdf creator: uqudus date_created: 2025-09-11T09:26:29Z date_updated: 2025-09-11T09:26:29Z file_id: '61195' file_name: 3749838.pdf file_size: 1062387 relation: main_file success: 1 file_date_updated: 2025-09-11T09:26:29Z has_accepted_license: '1' intvolume: ' 58' keyword: - fact checking - knowledge graphs - fact-checkers - check worthiness - evidence retrieval - trust - veracity. language: - iso: eng main_file_link: - open_access: '1' url: https://dl.acm.org/doi/pdf/10.1145/3749838 oa: '1' popular_science: '1' publication: ACM Computing Surveys publication_identifier: issn: - 0360-0300 - 1557-7341 publication_status: published publisher: Association for Computing Machinery (ACM) quality_controlled: '1' status: public title: Fact Checking Knowledge Graphs -- A Survey type: journal_article user_id: '83392' volume: 58 year: '2025' ... --- _id: '62701' 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.' author: - first_name: Caglar full_name: Demir, Caglar last_name: Demir - first_name: Moshood full_name: Yekini, Moshood last_name: Yekini - first_name: Michael full_name: Röder, Michael last_name: Röder - first_name: Yasir full_name: Mahmood, Yasir last_name: Mahmood - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille last_name: Ngonga Ngomo citation: 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' 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 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} }' 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.' 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.' 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.' 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 date_created: 2025-11-28T14:09:17Z date_updated: 2025-11-28T14:57:39Z department: - _id: '34' - _id: '574' doi: 10.1007/978-3-032-06066-2_29 keyword: - Decision Tree - OWL Class Expression Learning - Description Logic - Knowledge Graph - Large Language Model - Verbalizer language: - iso: eng place: Cham project: - _id: '285' name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen publication: Lecture Notes in Computer Science publication_identifier: isbn: - '9783032060655' - '9783032060662' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer Nature Switzerland status: public title: Tree-Based OWL Class Expression Learner over Large Graphs type: book_chapter user_id: '114533' year: '2025' ... --- _id: '62007' abstract: - lang: eng 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." author: - first_name: Rupesh full_name: Sapkota, Rupesh id: '89326' last_name: Sapkota - first_name: Caglar full_name: Demir, Caglar last_name: Demir - first_name: Arnab full_name: Sharma, Arnab last_name: Sharma - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille last_name: Ngonga Ngomo citation: 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' 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 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} }' 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.' 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.' 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.' conference: end_date: 2025-12-10 location: Dayton, OH, USA name: Knowledge Capture Conference 2025 start_date: 2025-12-10 date_created: 2025-10-28T10:02:40Z date_updated: 2025-12-04T09:15:07Z ddc: - '000' department: - _id: '574' doi: https://doi.org/10.1145/3731443.3771365 file: - access_level: open_access content_type: application/pdf creator: rupezzz date_created: 2025-10-28T10:02:13Z date_updated: 2025-10-28T10:02:13Z file_id: '62008' file_name: public.pdf file_size: 837462 relation: main_file file_date_updated: 2025-10-28T10:02:13Z has_accepted_license: '1' keyword: - Knowledge Graphs - Embeddings - Ensemble Learning language: - iso: eng main_file_link: - url: https://papers.dice-research.org/2025/KCAP_ASWA/public.pdf oa: '1' place: Dayton, OH, USA project: - _id: '285' name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen publication: Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025) publisher: ACM status: public title: Parameter Averaging in Link Prediction type: conference user_id: '89326' year: '2025' ... --- _id: '57445' 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. author: - first_name: Andreas Maximilian full_name: Schultz, Andreas Maximilian id: '40599' last_name: Schultz - first_name: Fabian full_name: Dotzki, Fabian last_name: Dotzki - first_name: Iryna full_name: Mozgova, Iryna id: '95903' last_name: Mozgova citation: 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' 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 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} }' 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.' 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. 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.' 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 date_created: 2024-11-27T07:50:07Z date_updated: 2024-11-27T07:53:24Z department: - _id: '741' doi: 10.5220/0012947700003838 keyword: - Knowledge Management - Civil Protection - Systematic Literature Review - Fire Brigade language: - iso: eng main_file_link: - url: https://www.scitepress.org/Link.aspx?doi=10.5220/0012947700003838 publication: Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management publication_status: published publisher: SCITEPRESS - Science and Technology Publications status: public title: Knowledge Management in Civil Protection at the Example of Fire Brigades type: conference user_id: '40599' year: '2024' ... --- _id: '57240' abstract: - lang: eng 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. author: - first_name: Umair full_name: Qudus, Umair id: '83392' last_name: Qudus orcid: 0000-0001-6714-8729 - first_name: Michael full_name: Röder, Michael id: '67199' last_name: Röder orcid: https://orcid.org/0000-0002-8609-8277 - first_name: Franck Lionel full_name: Tatkeu Pekarou, Franck Lionel last_name: Tatkeu Pekarou - first_name: Ana Alexandra full_name: Morim da Silva, Ana Alexandra id: '72108' last_name: Morim da Silva - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: 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.' 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} }' 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.' 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.' mla: 'Qudus, Umair, et al. “FaVEL: Fact Validation Ensemble Learning.” EKAW 2024, edited by Marco Rospocher and Mehwish Alam, 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.' conference: end_date: 2024-11-28 location: Amsterdam, Netherlands name: 24th International Conference on Knowledge Engineering and Knowledge Management start_date: 2024-11-26 corporate_editor: - Mehwish Alam date_created: 2024-11-19T14:12:49Z date_updated: 2025-09-11T09:48:12Z ddc: - '600' department: - _id: '34' editor: - first_name: Marco full_name: Rospocher, Marco last_name: Rospocher file: - access_level: closed content_type: application/pdf creator: uqudus date_created: 2024-11-19T14:14:14Z date_updated: 2024-11-19T14:14:14Z file_id: '57241' file_name: favel.pdf file_size: 190661 relation: main_file success: 1 file_date_updated: 2024-11-19T14:14:14Z has_accepted_license: '1' keyword: - fact checking - ensemble learning - transfer learning - knowledge management. language: - iso: eng popular_science: '1' project: - _id: '412' name: 'NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen' - _id: '285' name: 'SAIL: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen' - _id: '410' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' publication: EKAW 2024 quality_controlled: '1' status: public title: 'FaVEL: Fact Validation Ensemble Learning' type: conference user_id: '83392' year: '2024' ... --- _id: '57160' 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. author: - first_name: Alexander full_name: Werning, Alexander id: '62152' last_name: Werning - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach citation: 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.' 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. 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} }' 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. 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. 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. short: 'A. Werning, R. Haeb-Umbach, in: 32nd European Signal Processing Conference (EUSIPCO 2024), 2024.' conference: location: Lyon name: 32nd European Signal Processing Conference date_created: 2024-11-18T09:29:16Z date_updated: 2025-11-28T13:22:00Z ddc: - '000' department: - _id: '54' file: - access_level: closed content_type: application/pdf creator: awerning date_created: 2024-11-18T12:10:09Z date_updated: 2024-11-18T12:10:09Z file_id: '57200' file_name: Eusipco__Target_specific_Dataset_Pruning_for_Compression_of_Audio_Tagging_Models.pdf file_size: 183539 relation: main_file success: 1 file_date_updated: 2024-11-18T12:10:09Z has_accepted_license: '1' keyword: - data pruning - knowledge distillation - audio tagging language: - iso: eng project: - _id: '512' name: WestAI - AI Service Center West publication: 32nd European Signal Processing Conference (EUSIPCO 2024) quality_controlled: '1' status: public title: Target-Specific Dataset Pruning for Compression of Audio Tagging Models type: conference user_id: '62152' year: '2024' ... --- _id: '50479' 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. author: - first_name: Umair full_name: Qudus, Umair last_name: Qudus - first_name: Michael full_name: Röder, Michael last_name: Röder - first_name: Sabrina full_name: Kirrane, Sabrina last_name: Kirrane - first_name: Axel-Cyrille Ngonga full_name: Ngomo, Axel-Cyrille Ngonga last_name: Ngomo citation: 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' 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' 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} }' 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.' 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.' 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.' conference: end_date: 2023-11-10 location: Athens, Greece name: The Semantic Web – ISWC 2023 start_date: 2023-11-06 date_created: 2024-01-13T11:22:15Z date_updated: 2024-01-13T11:48:28Z ddc: - '006' department: - _id: '34' doi: 10.1007/978-3-031-47240-4_25 editor: - first_name: Terry full_name: R. Payne, Terry last_name: R. Payne - first_name: Valentina full_name: Presutti, Valentina last_name: Presutti - first_name: Guilin full_name: Qi, Guilin last_name: Qi - first_name: María full_name: Poveda-Villalón, María last_name: Poveda-Villalón - first_name: Giorgos full_name: Stoilos, Giorgos last_name: Stoilos - first_name: Laura full_name: Hollink, Laura last_name: Hollink - first_name: Zoi full_name: Kaoudi, Zoi last_name: Kaoudi - first_name: Gong full_name: Cheng, Gong last_name: Cheng - first_name: Juanzi full_name: Li, Juanzi last_name: Li file: - access_level: closed content_type: application/pdf creator: uqudus date_created: 2024-01-13T11:25:48Z date_updated: 2024-01-13T11:25:48Z file_id: '50480' file_name: ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf file_size: 1944818 relation: main_file success: 1 file_date_updated: 2024-01-13T11:25:48Z has_accepted_license: '1' intvolume: ' 14265' jel: - C keyword: - temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs language: - iso: eng page: 465–483 place: Cham project: - _id: '410' grant_number: '860801' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' publication: The Semantic Web – ISWC 2023 publication_identifier: isbn: - '9783031472398' - '9783031472404' issn: - 0302-9743 - 1611-3349 publication_status: published publisher: Springer, Cham series_title: ' Lecture Notes in Computer Science' status: public title: 'TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs' type: conference user_id: '83392' volume: 14265 year: '2023' ... --- _id: '35942' abstract: - lang: eng 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. author: - first_name: Paul full_name: Bogere, Paul id: '88496' last_name: Bogere orcid: 0000-0002-7159-5916 - first_name: Henrik full_name: Bode, Henrik id: '40880' last_name: Bode - first_name: Katrin full_name: Temmen, Katrin id: '30086' last_name: Temmen citation: 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' 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' 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} }' 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.' 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.' 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.' conference: end_date: 2022-09-30 location: Wien name: ICL2022 start_date: 2022-09.27 date_created: 2023-01-11T09:26:40Z date_updated: 2024-06-04T08:40:11Z department: - _id: '300' doi: https://doi.org/10.1007/978-3-031-26876-2_63 editor: - first_name: Michael full_name: E. Auer, Michael last_name: E. Auer - first_name: Wolfgang full_name: Pachatz, Wolfgang last_name: Pachatz - first_name: Tiia full_name: Rüütmann, Tiia last_name: Rüütmann intvolume: ' 633' keyword: - Knowledge Transfer - Microgrids - Sustainability language: - iso: eng page: 671 - 679 place: ICL 2022, Wien publication: Learning in the Age of Digital and Green Transition. ICL 2022. Lecture Notes in Networks and Systems publication_status: published publisher: Springer Nature status: public title: 'Work in Progress: Development of a Virtual and Interactive Microgrids Learning Environment for Microgrids Sustainability – The case of East Africa' type: conference user_id: '88496' volume: 633 year: '2023' ... --- _id: '34132' 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?' article_type: original author: - first_name: Isabel full_name: Steinhardt, Isabel last_name: Steinhardt - first_name: Felicitas full_name: Kruschick, Felicitas last_name: Kruschick citation: 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 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 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} }' 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. 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.' 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). date_created: 2022-11-22T15:55:11Z date_updated: 2022-11-22T16:05:00Z department: - _id: '477' doi: 10.3897/rio.8.e86387 intvolume: ' 8' keyword: - Open Science - Knowledge Equity - Qualitative Methods language: - iso: eng main_file_link: - open_access: '1' oa: '1' publication: Research Ideas and Outcomes publication_identifier: issn: - 2367-7163 publication_status: published publisher: Pensoft Publishers quality_controlled: '1' status: public title: Knowledge Equity and Open Science in qualitative research – Practical research considerations type: journal_article user_id: '90339' volume: 8 year: '2022' ... --- _id: '32179' abstract: - lang: eng 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. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Mobeen full_name: Ahmed, Mobeen last_name: Ahmed - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: 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 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)} }' 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.' 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.' 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. 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.' conference: end_date: 2022-07-01 location: Virtual name: 24th International Conference on Human-Computer Interaction (HCII 2022) start_date: 2022-06-26 date_created: 2022-06-27T09:27:06Z date_updated: 2022-11-28T13:22:16Z ddc: - '004' department: - _id: '579' doi: 10.1007/978-3-031-06417-3_56 editor: - first_name: Constantine full_name: Stephanidis, Constantine last_name: Stephanidis - first_name: Margherita full_name: Antona, Margherita last_name: Antona - first_name: Stavroula full_name: Ntoa, Stavroula last_name: Ntoa file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2022-11-28T13:21:32Z date_updated: 2022-11-28T13:21:32Z file_id: '34150' file_name: Kersting et al. (2022), Kersting2022.pdf file_size: 1153017 relation: main_file success: 1 file_date_updated: 2022-11-28T13:21:32Z has_accepted_license: '1' intvolume: ' 1580' keyword: - On-The-Fly Computing - Chatbot - Knowledge Base language: - iso: eng page: 419--426 place: Cham, Switzerland project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: HCI International 2022 Posters publication_identifier: isbn: - '9783031064166' - '9783031064173' issn: - 1865-0929 - 1865-0937 publication_status: published publisher: Springer International Publishing related_material: link: - relation: confirmation url: https://link.springer.com/chapter/10.1007/978-3-031-06417-3_56 series_title: Communications in Computer and Information Science (CCIS) status: public title: Chatbot-Enhanced Requirements Resolution for Automated Service Compositions type: book_chapter user_id: '58701' volume: 1580 year: '2022' ... --- _id: '35136' 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" alternative_title: - Ergebnisse der Messung pädagogischer Kompetenzen Studierender in Deutschland author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Andreas full_name: Seifert, Andreas last_name: Seifert 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 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 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} }' 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.' 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.' 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. short: C. Caruso, A. Seifert, Österreichische Religionspädagogische Forum 30 (2022) 239–260. date_created: 2023-01-03T12:41:20Z date_updated: 2023-01-06T12:08:14Z doi: 10.30:2022.1.14 intvolume: ' 30' issue: '1' keyword: - Bildungswissenschaftliches Wissen - Kompetenzmessung - Kompetenzselbsteinschätzung - Praxissemester - Professionalisierung / competence measurement - competence self-assessment - educational knowledge - internship - professionalization language: - iso: ger page: 239-260 publication: Österreichische Religionspädagogische Forum publication_identifier: issn: - 1018-1539 publication_status: published publisher: Universitätsbibliothek Graz status: public title: ' Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?' type: journal_article user_id: '86519' volume: 30 year: '2022' ... --- _id: '35137' 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. - lang: eng 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.' author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Andreas full_name: Seifert, Andreas last_name: Seifert citation: 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 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 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} }' 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.' 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.' 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. short: C. Caruso, A. Seifert, Religionspädagogische Beiträge. Journal for Religion in Education 45 (2022) 3–15. date_created: 2023-01-03T12:45:09Z date_updated: 2023-01-06T12:21:07Z doi: 10.20377/rpb-101 intvolume: ' 45' issue: '1' keyword: - Bildungswissenschaftliches Wissen - Kompetenzmessung - Kompetenzselbsteinschätzung - Praxissemester - Professionalisierung / competence measurement - competence self-assessment - educational knowledge - internship - professionalization language: - iso: ger page: 3-15 publication: 'Religionspädagogische Beiträge. Journal for Religion in Education ' publication_identifier: issn: - 2750 - 3941 publication_status: published publisher: University of Bamberg Press status: public title: Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen type: journal_article user_id: '86519' volume: 45 year: '2022' ... --- _id: '36524' 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?' article_type: original author: - first_name: Isabel full_name: Steinhardt, Isabel id: '90339' last_name: Steinhardt orcid: https://orcid.org/0000-0002-2590-6189 - first_name: Felicitas full_name: Kruschick, Felicitas last_name: Kruschick citation: 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 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 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} }' 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.' 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. short: I. Steinhardt, F. Kruschick, Research Ideas and Outcomes 8 (2022) e86387. date_created: 2023-01-13T08:33:03Z date_updated: 2023-01-13T08:41:34Z ddc: - '300' department: - _id: '121' doi: 10.3897/rio.8.e86387 file: - access_level: closed content_type: application/pdf creator: isste date_created: 2023-01-13T08:39:48Z date_updated: 2023-01-13T08:39:48Z file_id: '36525' file_name: 2022 Steinhardt, Kruschick Knowledge Equity.pdf file_size: 208525 relation: main_file success: 1 file_date_updated: 2023-01-13T08:39:48Z has_accepted_license: '1' intvolume: ' 8' keyword: - Open Science - Knowledge Equity - Qualitative Methods language: - iso: eng main_file_link: - open_access: '1' url: https://riojournal.com/article/86387/ oa: '1' page: e86387 publication: Research Ideas and Outcomes publication_identifier: issn: - 2367-7163 publication_status: published publisher: Pensoft Publishers quality_controlled: '1' status: public title: Knowledge Equity and Open Science in qualitative research – Practical research considerations type: journal_article user_id: '90339' volume: 8 year: '2022' ... --- _id: '33957' 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. author: - first_name: Sahar full_name: Deppe, Sahar last_name: Deppe - first_name: Lukas full_name: Brandt, Lukas last_name: Brandt - first_name: Marc full_name: Brünninghaus, Marc last_name: Brünninghaus - first_name: Jörg full_name: Papenkordt, Jörg id: '44648' last_name: Papenkordt - first_name: Stefan full_name: Heindorf, Stefan id: '11871' last_name: Heindorf orcid: 0000-0002-4525-6865 - first_name: Gudrun full_name: Tschirner-Vinke, Gudrun last_name: Tschirner-Vinke 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 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 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)} }' 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. 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.' 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). conference: end_date: 2022-09-09 location: Stuttgart name: ETFA start_date: 2022-09-06 date_created: 2022-10-28T11:43:49Z date_updated: 2023-11-23T08:07:51Z department: - _id: '178' - _id: '574' - _id: '184' doi: 10.1109/ETFA52439.2022.9921520 keyword: - Assistance system - Knowledge graph - Information retrieval - Neural networks - AR language: - iso: eng project: - _id: '409' grant_number: 02L19C115 name: 'KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands in OstWestfalenLippe' related_material: link: - relation: confirmation url: https://ieeexplore.ieee.org/document/9921520 series_title: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) status: public title: AI-Based Assistance System for Manufacturing type: conference user_id: '44648' year: '2022' ... --- _id: '32509' 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." author: - first_name: Umair full_name: Qudus, Umair id: '83392' last_name: Qudus orcid: 0000-0001-6714-8729 - first_name: Michael full_name: Röder, Michael id: '67199' last_name: Röder orcid: https://orcid.org/0000-0002-8609-8277 - first_name: Muhammad full_name: Saleem, Muhammad last_name: Saleem - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo citation: 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' 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' 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} }' 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.' 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.' 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.' conference: end_date: 2022-10-27 location: Hanghzou, China name: International Semantic Web Conference (ISWC) start_date: 2022-10-23 date_created: 2022-08-02T11:56:03Z date_updated: 2025-09-11T09:37:16Z ddc: - '000' department: - _id: '34' doi: 10.1007/978-3-031-19433-7_27 editor: - first_name: Ulrike full_name: Sattler, Ulrike last_name: Sattler - first_name: Aidan full_name: Hogan, Aidan last_name: Hogan - first_name: Maria full_name: Keet, Maria last_name: Keet - first_name: Valentina full_name: Presutti, Valentina last_name: Presutti file: - access_level: closed content_type: application/pdf creator: uqudus date_created: 2022-12-22T15:45:29Z date_updated: 2022-12-22T15:45:29Z file_id: '34853' file_name: hybrid_fact_check_iswc2022.pdf file_size: 296218 relation: main_file success: 1 file_date_updated: 2022-12-22T15:45:29Z has_accepted_license: '1' keyword: - fact checking · ensemble learning · knowledge graph veracit language: - iso: eng page: 462--480 place: Cham popular_science: '1' project: - _id: '410' name: 'KnowGraphs: KnowGraphs: Knowledge Graphs at Scale' publication: The Semantic Web -- ISWC 2022 publication_identifier: isbn: - 978-3-031-19433-7 publication_status: accepted publisher: Springer International Publishing quality_controlled: '1' status: public title: 'HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs' type: conference user_id: '83392' year: '2022' ... --- _id: '34822' 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. article_type: review author: - first_name: Julia full_name: Bruns, Julia id: '72183' last_name: Bruns orcid: https://orcid.org/0000-0002-6604-5864 - first_name: Hedwig full_name: Gasteiger, Hedwig last_name: Gasteiger - first_name: Carolin full_name: Strahl, Carolin last_name: Strahl citation: 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' 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} }' 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.' 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. date_created: 2022-12-22T09:22:46Z date_updated: 2023-06-20T19:04:34Z department: - _id: '611' - _id: '97' doi: 10.1002/rev3.3255 external_id: isi: - '000614156400001' intvolume: ' 9' isi: '1' issue: '2' keyword: - content knowledge - domain-specific learning - early childhood education - teacher knowledge language: - iso: eng page: 500-538 publication: Review of Education publication_identifier: issn: - 2049-6613 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: 'Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review' type: journal_article user_id: '49063' volume: 9 year: '2021' ... --- _id: '17019' abstract: - lang: eng 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. author: - first_name: Guido full_name: Schryen, Guido id: '72850' last_name: Schryen - first_name: Gerit full_name: Wagner, Gerit last_name: Wagner - first_name: Alexander full_name: Benlian, Alexander last_name: Benlian 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.' 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.' 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} }' 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.' 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.' date_created: 2020-05-19T15:12:33Z date_updated: 2022-01-06T06:53:02Z ddc: - '000' department: - _id: '277' file: - access_level: open_access content_type: application/pdf creator: hsiemes date_created: 2020-05-19T15:09:28Z date_updated: 2020-05-19T15:09:28Z file_id: '17020' file_name: SSRN-id3581789.pdf file_size: 487351 relation: main_file file_date_updated: 2020-05-19T15:09:28Z has_accepted_license: '1' keyword: - Scientific impact - knowledge impact - content-based citation analysis - methodology language: - iso: eng main_file_link: - open_access: '1' url: https://ssrn.com/abstract=3581789 oa: '1' status: public title: 'Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre' type: working_paper user_id: '61579' year: '2020' ...