[{"user_id":"67199","department":[{"_id":"574"}],"_id":"54615","language":[{"iso":"eng"}],"keyword":["318 SFB-TRR demir dice enexa ngonga sail"],"type":"conference","publication":"Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings","status":"public","date_created":"2024-06-04T15:58:48Z","author":[{"first_name":"Caglar","last_name":"Demir","full_name":"Demir, Caglar","id":"43817"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_updated":"2024-06-04T15:59:04Z","title":"Learning Permutation-Invariant Embeddings for Description Logic Concepts","citation":{"chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Learning Permutation-Invariant Embeddings for Description Logic Concepts.” In <i>Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-La-Neuve, Belgium, April 12–14, 2023, Proceedings</i>, 103–115, 2023.","ieee":"C. Demir and A.-C. Ngonga Ngomo, “Learning Permutation-Invariant Embeddings for Description Logic Concepts,” in <i>Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings</i>, 2023, pp. 103–115.","ama":"Demir C, Ngonga Ngomo A-C. Learning Permutation-Invariant Embeddings for Description Logic Concepts. In: <i>Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-La-Neuve, Belgium, April 12–14, 2023, Proceedings</i>. ; 2023:103–115.","apa":"Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Learning Permutation-Invariant Embeddings for Description Logic Concepts. <i>Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-La-Neuve, Belgium, April 12–14, 2023, Proceedings</i>, 103–115.","mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Learning Permutation-Invariant Embeddings for Description Logic Concepts.” <i>Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-La-Neuve, Belgium, April 12–14, 2023, Proceedings</i>, 2023, pp. 103–115.","bibtex":"@inproceedings{Demir_Ngonga Ngomo_2023, title={Learning Permutation-Invariant Embeddings for Description Logic Concepts}, booktitle={Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023}, pages={103–115} }","short":"C. Demir, A.-C. Ngonga Ngomo, in: Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-La-Neuve, Belgium, April 12–14, 2023, Proceedings, 2023, pp. 103–115."},"page":"103–115","year":"2023"},{"user_id":"67199","department":[{"_id":"574"}],"_id":"54616","language":[{"iso":"eng"}],"keyword":["ahmed becker dice ngonga sail sherif"],"type":"conference","publication":"SEMANTiCS","status":"public","author":[{"first_name":"Alexander","last_name":"Becker","full_name":"Becker, Alexander"},{"first_name":"Abdullah Fathi Ahmed","last_name":"Ahmed","full_name":"Ahmed, Abdullah Fathi Ahmed","id":"29670"},{"first_name":"Mohamed","id":"67234","full_name":"Sherif, Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2024-06-04T15:59:28Z","date_updated":"2024-06-04T15:59:50Z","title":"COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs","citation":{"mla":"Becker, Alexander, et al. “COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs.” <i>SEMANTiCS</i>, 2023.","short":"A. Becker, A.F.A. Ahmed, M. Sherif, A.-C. Ngonga Ngomo, in: SEMANTiCS, 2023.","bibtex":"@inproceedings{Becker_Ahmed_Sherif_Ngonga Ngomo_2023, title={COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs}, booktitle={SEMANTiCS}, author={Becker, Alexander and Ahmed, Abdullah Fathi Ahmed and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","apa":"Becker, A., Ahmed, A. F. A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2023). COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs. <i>SEMANTiCS</i>.","ama":"Becker A, Ahmed AFA, Sherif M, Ngonga Ngomo A-C. COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs. In: <i>SEMANTiCS</i>. ; 2023.","ieee":"A. Becker, A. F. A. Ahmed, M. Sherif, and A.-C. Ngonga Ngomo, “COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs,” 2023.","chicago":"Becker, Alexander, Abdullah Fathi Ahmed Ahmed, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs.” In <i>SEMANTiCS</i>, 2023."},"year":"2023"},{"keyword":["Library and Information Sciences","Statistics","Probability and Uncertainty","Computer Science Applications","Education","Information Systems","Statistics and Probability"],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>Graffiti is an urban phenomenon that is increasingly attracting the interest of the sciences. To the best of our knowledge, no suitable data corpora are available for systematic research until now. The Information System Graffiti in Germany project (<jats:sc>Ingrid</jats:sc>) closes this gap by dealing with graffiti image collections that have been made available to the project for public use. Within <jats:sc>Ingrid</jats:sc>, the graffiti images are collected, digitized and annotated. With this work, we aim to support the rapid access to a comprehensive data source on <jats:sc>Ingrid</jats:sc> targeted especially by researchers. In particular, we present <jats:sc>Ingrid</jats:sc>KG, an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR principles. We weekly update <jats:sc>Ingrid</jats:sc>KG by augmenting the new annotated graffiti to our knowledge graph. Our generation pipeline applies RDF data conversion, link discovery and data fusion approaches to the original data. The current version of <jats:sc>Ingrid</jats:sc>KG contains 460,640,154 triples and is linked to 3 other knowledge graphs by over 200,000 links. In our use case studies, we demonstrate the usefulness of our knowledge graph for different applications.</jats:p>"}],"publication":"Scientific Data","title":"IngridKG: A FAIR Knowledge Graph of Graffiti","publisher":"Springer Science and Business Media LLC","date_created":"2023-06-06T09:12:39Z","year":"2023","issue":"1","article_number":"318","project":[{"grant_number":"289287267","name":"INGRID: INGRID: Informationssystem Graffiti in Deutschland","_id":"104"}],"_id":"45484","user_id":"6593","department":[{"_id":"574"},{"_id":"115"}],"status":"public","type":"journal_article","doi":"10.1038/s41597-023-02199-8","date_updated":"2023-06-06T09:17:10Z","author":[{"first_name":"Mohamed Ahmed","full_name":"Sherif, Mohamed Ahmed","last_name":"Sherif"},{"last_name":"da Silva","full_name":"da Silva, Ana Alexandra Morim","first_name":"Ana Alexandra Morim"},{"last_name":"Pestryakova","full_name":"Pestryakova, Svetlana","first_name":"Svetlana"},{"last_name":"Ahmed","full_name":"Ahmed, Abdullah Fathi","first_name":"Abdullah Fathi"},{"last_name":"Niemann","full_name":"Niemann, Sven","first_name":"Sven"},{"last_name":"Ngomo","full_name":"Ngomo, Axel-Cyrille Ngonga","first_name":"Axel-Cyrille Ngonga"}],"volume":10,"citation":{"ieee":"M. A. Sherif, A. A. M. da Silva, S. Pestryakova, A. F. Ahmed, S. Niemann, and A.-C. N. Ngomo, “IngridKG: A FAIR Knowledge Graph of Graffiti,” <i>Scientific Data</i>, vol. 10, no. 1, Art. no. 318, 2023, doi: <a href=\"https://doi.org/10.1038/s41597-023-02199-8\">10.1038/s41597-023-02199-8</a>.","chicago":"Sherif, Mohamed Ahmed, Ana Alexandra Morim da Silva, Svetlana Pestryakova, Abdullah Fathi Ahmed, Sven Niemann, and Axel-Cyrille Ngonga Ngomo. “IngridKG: A FAIR Knowledge Graph of Graffiti.” <i>Scientific Data</i> 10, no. 1 (2023). <a href=\"https://doi.org/10.1038/s41597-023-02199-8\">https://doi.org/10.1038/s41597-023-02199-8</a>.","ama":"Sherif MA, da Silva AAM, Pestryakova S, Ahmed AF, Niemann S, Ngomo A-CN. IngridKG: A FAIR Knowledge Graph of Graffiti. <i>Scientific Data</i>. 2023;10(1). doi:<a href=\"https://doi.org/10.1038/s41597-023-02199-8\">10.1038/s41597-023-02199-8</a>","mla":"Sherif, Mohamed Ahmed, et al. “IngridKG: A FAIR Knowledge Graph of Graffiti.” <i>Scientific Data</i>, vol. 10, no. 1, 318, Springer Science and Business Media LLC, 2023, doi:<a href=\"https://doi.org/10.1038/s41597-023-02199-8\">10.1038/s41597-023-02199-8</a>.","bibtex":"@article{Sherif_da Silva_Pestryakova_Ahmed_Niemann_Ngomo_2023, title={IngridKG: A FAIR Knowledge Graph of Graffiti}, volume={10}, DOI={<a href=\"https://doi.org/10.1038/s41597-023-02199-8\">10.1038/s41597-023-02199-8</a>}, number={1318}, journal={Scientific Data}, publisher={Springer Science and Business Media LLC}, author={Sherif, Mohamed Ahmed and da Silva, Ana Alexandra Morim and Pestryakova, Svetlana and Ahmed, Abdullah Fathi and Niemann, Sven and Ngomo, Axel-Cyrille Ngonga}, year={2023} }","short":"M.A. Sherif, A.A.M. da Silva, S. Pestryakova, A.F. Ahmed, S. Niemann, A.-C.N. Ngomo, Scientific Data 10 (2023).","apa":"Sherif, M. A., da Silva, A. A. M., Pestryakova, S., Ahmed, A. F., Niemann, S., &#38; Ngomo, A.-C. N. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti. <i>Scientific Data</i>, <i>10</i>(1), Article 318. <a href=\"https://doi.org/10.1038/s41597-023-02199-8\">https://doi.org/10.1038/s41597-023-02199-8</a>"},"intvolume":"        10","publication_status":"published","publication_identifier":{"issn":["2052-4463"]}},{"user_id":"11871","department":[{"_id":"574"},{"_id":"760"}],"project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"},{"name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs","_id":"407","grant_number":"101070305"},{"name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","_id":"285","grant_number":"NW21-059D"}],"_id":"33734","status":"public","editor":[{"first_name":"Catia","last_name":"Pesquita","full_name":"Pesquita, Catia"},{"first_name":"Ernesto","full_name":"Jimenez-Ruiz, Ernesto","last_name":"Jimenez-Ruiz"},{"first_name":"Jamie","last_name":"McCusker","full_name":"McCusker, Jamie"},{"first_name":"Daniel","full_name":"Faria, Daniel","last_name":"Faria"},{"first_name":"Mauro","full_name":"Dragoni, Mauro","last_name":"Dragoni"},{"first_name":"Anastasia","full_name":"Dimou, Anastasia","last_name":"Dimou"},{"last_name":"Troncy","full_name":"Troncy, Raphael","first_name":"Raphael"},{"full_name":"Hertling, Sven","last_name":"Hertling","first_name":"Sven"}],"type":"conference","main_file_link":[{"open_access":"1","url":"https://2023.eswc-conferences.org/wp-content/uploads/2023/05/paper_Kouagou_2023_Neural.pdf"}],"doi":"https://doi.org/10.1007/978-3-031-33455-9_13","conference":{"name":"20th Extended Semantic Web Conference","start_date":"2023-05-28","end_date":"2023-06-01","location":"Hersonissos, Crete, Greece"},"author":[{"first_name":"N'Dah Jean","full_name":"KOUAGOU, N'Dah Jean","id":"87189","last_name":"KOUAGOU"},{"first_name":"Stefan","full_name":"Heindorf, Stefan","id":"11871","orcid":"0000-0002-4525-6865","last_name":"Heindorf"},{"last_name":"Demir","full_name":"Demir, Caglar","id":"43817","first_name":"Caglar"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"volume":13870,"date_updated":"2023-07-02T18:10:02Z","oa":"1","citation":{"ieee":"N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","chicago":"KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.” In <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, edited by Catia Pesquita, Ernesto Jimenez-Ruiz, Jamie McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphael Troncy, and Sven Hertling, 13870:209–26. Springer International Publishing, 2023. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","ama":"KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis. In: Pesquita C, Jimenez-Ruiz E, McCusker J, et al., eds. <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>. Vol 13870. Springer International Publishing; 2023:209-226. doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>","apa":"KOUAGOU, N. J., Heindorf, S., Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, &#38; S. Hertling (Eds.), <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i> (Vol. 13870, pp. 209–226). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>","mla":"KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","short":"N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.","bibtex":"@inproceedings{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2023, title={Neural Class Expression Synthesis}, volume={13870}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>}, booktitle={The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)}, publisher={Springer International Publishing}, author={KOUAGOU, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, editor={Pesquita, Catia and Jimenez-Ruiz, Ernesto and McCusker, Jamie and Faria, Daniel and Dragoni, Mauro and Dimou, Anastasia and Troncy, Raphael and Hertling, Sven}, year={2023}, pages={209–226} }"},"intvolume":"     13870","page":"209 - 226","publication_status":"published","publication_identifier":{"unknown":["978-3-031-33455-9"]},"language":[{"iso":"eng"}],"keyword":["Neural network","Concept learning","Description logics"],"external_id":{"unknown":["https://link.springer.com/chapter/10.1007/978-3-031-33455-9_13"]},"abstract":[{"lang":"eng","text":"Many applications require explainable node classification in knowledge graphs. Towards this end, a popular ``white-box'' approach is class expression learning: Given sets of positive and negative nodes, class expressions in description logics are learned that separate positive from negative nodes. Most existing approaches are search-based approaches generating many candidate class expressions and selecting the best one. However, they often take a long time to find suitable class expressions. In this paper, we cast class expression learning as a translation problem and propose a new family of class expression learning approaches which we dub neural class expression synthesizers. Training examples are ``translated'' into class expressions in a fashion akin to machine translation. Consequently, our synthesizers are not subject to the runtime limitations of search-based approaches. We study three instances of this novel family of approaches based on LSTMs, GRUs, and set transformers, respectively. An evaluation of our approach on four benchmark datasets suggests that it can effectively synthesize high-quality class expressions with respect to the input examples in approximately one second on average. Moreover, a comparison to state-of-the-art approaches suggests that we achieve better F-measures on large datasets. For reproducibility purposes, we provide our implementation as well as pretrained models in our public GitHub repository at https://github.com/dice-group/NeuralClassExpressionSynthesis"}],"publication":"The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)","title":"Neural Class Expression Synthesis","date_created":"2022-10-15T19:20:11Z","publisher":"Springer International Publishing","year":"2023"},{"ddc":["000"],"language":[{"iso":"eng"}],"file_date_updated":"2023-08-01T09:30:35Z","_id":"46251","project":[{"grant_number":"101070305","name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs","_id":"407"},{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"},{"name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","_id":"285","grant_number":"NW21-059D"}],"department":[{"_id":"574"}],"user_id":"43817","status":"public","file":[{"content_type":"application/pdf","relation":"main_file","creator":"cdemir","date_created":"2023-08-01T09:30:35Z","date_updated":"2023-08-01T09:30:35Z","file_id":"46252","access_level":"open_access","file_name":"public.pdf","file_size":340865}],"publication":"International Joint Conference on Artificial Intelligence","type":"journal_article","title":"Neuro-Symbolic Class Expression Learning","conference":{"location":"Macau","name":"International Joint Conference on Artificial Intelligence IJCAI 2023"},"date_updated":"2023-08-01T09:44:30Z","oa":"1","date_created":"2023-08-01T09:30:37Z","author":[{"first_name":"Caglar","full_name":"Demir, Caglar","id":"43817","last_name":"Demir"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"year":"2023","citation":{"chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” <i>International Joint Conference on Artificial Intelligence</i>, 2023.","ieee":"C. Demir and A.-C. Ngonga Ngomo, “Neuro-Symbolic Class Expression Learning,” <i>International Joint Conference on Artificial Intelligence</i>, 2023.","ama":"Demir C, Ngonga Ngomo A-C. Neuro-Symbolic Class Expression Learning. <i>International Joint Conference on Artificial Intelligence</i>. Published online 2023.","apa":"Demir, C., &#38; Ngonga Ngomo, A.-C. (2023). Neuro-Symbolic Class Expression Learning. <i>International Joint Conference on Artificial Intelligence</i>. International Joint Conference on Artificial Intelligence IJCAI 2023, Macau.","mla":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” <i>International Joint Conference on Artificial Intelligence</i>, 2023.","short":"C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).","bibtex":"@article{Demir_Ngonga Ngomo_2023, title={Neuro-Symbolic Class Expression Learning}, journal={International Joint Conference on Artificial Intelligence}, author={Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2023} }"},"has_accepted_license":"1"},{"abstract":[{"lang":"ger","text":"„Lerne deinen Körper besser kennen“, „Das Beste für deine Gesundheit“ und „Ihre Transformation beginnt jetzt“ - mit Versprechen wie diesen vermitteln die Produkttexte von Wearables wie Fitnesstracker und Smartwatches ein ganz bestimmtes Bild ihrer vorgesehenen Nutzer*innen und deren Nutzung. Verbunden mit den kleinen, am Handgelenk getragenen Geräten sind Fragen nach Erkenntnisgewinn und Kontrollverlust, Selbstoptimierung und Quantifizierungslogiken, Eigenverantwortung und Fremdsteuerung. Die vorliegende Arbeit widmet sich diesem komplexen Spannungsfeld und verfolgt dabei einen multiperspektivischen Ansatz: im Rahmen einer Dispositivanalyse werden die einzelnen Elemente des Wearable-Dispositivs als eigenständige, empirisch zu untersuchende Analysegegenstände betrachtet, um so das Zusammenwirken und die komplexe Beziehung von Diskursen, Gegenständen, Nutzung, Subjekten und Gesellschaft zu erforschen. Ein besonderes Erkenntnisinteresse liegt dabei auf dem Wissen, was sich über Wearables etabliert hat und sich in den Alltagspraktiken der Nutzer*innen widerspiegelt sowie bei der Frage nach den möglichen Funktionen und Auswirkungen des Wearable-Dispositivs. "}],"status":"public","type":"book","keyword":["Selbstvermessung","Dispositivanalyse","Gesundheitsdiskurs","Quantifizierungsgesellschaft","Wearables","Selbstoptimierung"],"language":[{"iso":"ger"}],"_id":"44719","user_id":"33185","department":[{"_id":"574"}],"place":"Wiesbaden","year":"2023","citation":{"ama":"Schloots FM. <i>Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs</i>. Springer Fachmedien Wiesbaden; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-658-40902-9\">10.1007/978-3-658-40902-9</a>","ieee":"F. M. Schloots, <i>Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs</i>. Wiesbaden: Springer Fachmedien Wiesbaden, 2023.","chicago":"Schloots, Franziska Margarete. <i>Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs</i>. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. <a href=\"https://doi.org/10.1007/978-3-658-40902-9\">https://doi.org/10.1007/978-3-658-40902-9</a>.","bibtex":"@book{Schloots_2023, place={Wiesbaden}, title={Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs}, DOI={<a href=\"https://doi.org/10.1007/978-3-658-40902-9\">10.1007/978-3-658-40902-9</a>}, publisher={Springer Fachmedien Wiesbaden}, author={Schloots, Franziska Margarete}, year={2023} }","mla":"Schloots, Franziska Margarete. <i>Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs</i>. Springer Fachmedien Wiesbaden, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-658-40902-9\">10.1007/978-3-658-40902-9</a>.","short":"F.M. Schloots, Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs, Springer Fachmedien Wiesbaden, Wiesbaden, 2023.","apa":"Schloots, F. M. (2023). <i>Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs</i>. Springer Fachmedien Wiesbaden. <a href=\"https://doi.org/10.1007/978-3-658-40902-9\">https://doi.org/10.1007/978-3-658-40902-9</a>"},"publication_status":"published","publication_identifier":{"isbn":["9783658409012","9783658409029"],"issn":["2512-112X","2512-1146"]},"title":"Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs","doi":"10.1007/978-3-658-40902-9","date_updated":"2023-08-31T14:31:43Z","publisher":"Springer Fachmedien Wiesbaden","date_created":"2023-05-10T11:50:35Z","author":[{"first_name":"Franziska Margarete","id":"33185","full_name":"Schloots, Franziska Margarete","last_name":"Schloots"}]},{"abstract":[{"lang":"eng","text":"Indonesian is classified as underrepresented in the Natural Language Processing (NLP) field, despite being the tenth most spoken language in the world with 198 million speakers. The paucity of datasets is recognized as the main reason for the slow advancements in NLP research for underrepresented languages. Significant attempts were made in 2020 to address this drawback for Indonesian. The Indonesian Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT pre-trained language model. The second benchmark, Indonesian Language Evaluation Montage (IndoLEM), was presented in the same year. These benchmarks support several tasks, including Named Entity Recognition (NER). However, all NER datasets are in the public domain and do not contain domain-specific datasets. To alleviate this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset in the religious domain that adheres to a meticulously designed annotation guideline. Since Indonesia has the world’s largest Muslim population, we build the dataset from the Indonesian translation of the Quran. The dataset includes 2475 named entities representing 18 different classes. To assess the annotation quality of IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT fine-tuning. The results reveal that the first model outperforms the second model achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable evaluation metric for Indonesian NER tasks in the aforementioned domain, widening the research’s domain range."}],"publication":"Natural Language Processing and Information Systems","keyword":["NER benchmark dataset","Indonesian","specific domain"],"language":[{"iso":"eng"}],"year":"2023","title":"IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran","publisher":"Springer Nature Switzerland","date_created":"2023-08-17T12:41:45Z","status":"public","type":"book_chapter","_id":"46572","department":[{"_id":"34"},{"_id":"574"}],"user_id":"71039","place":"Cham","citation":{"apa":"Gusmita, R. H., Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In <i>Natural Language Processing and Information Systems</i>. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>","bibtex":"@inbook{Gusmita_Firmansyah_Moussallem_Ngonga Ngomo_2023, place={Cham}, title={IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>}, booktitle={Natural Language Processing and Information Systems}, publisher={Springer Nature Switzerland}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2023} }","short":"R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.","mla":"Gusmita, Ria Hari, et al. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” <i>Natural Language Processing and Information Systems</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>.","ieee":"R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,” in <i>Natural Language Processing and Information Systems</i>, Cham: Springer Nature Switzerland, 2023.","chicago":"Gusmita, Ria Hari, Asep Fajar Firmansyah, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran.” In <i>Natural Language Processing and Information Systems</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">https://doi.org/10.1007/978-3-031-35320-8_12</a>.","ama":"Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In: <i>Natural Language Processing and Information Systems</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-35320-8_12\">10.1007/978-3-031-35320-8_12</a>"},"publication_identifier":{"isbn":["9783031353192","9783031353208"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007/978-3-031-35320-8_12"}]},"doi":"10.1007/978-3-031-35320-8_12","conference":{"location":"Derby, UK","end_date":"2023-06-23","start_date":"2023-06-21","name":"International Conference on Applications of Natural Language to Information Systems (NLDB) 2023"},"date_updated":"2024-11-19T15:41:34Z","author":[{"first_name":"Ria Hari","last_name":"Gusmita","id":"71039","full_name":"Gusmita, Ria Hari"},{"last_name":"Firmansyah","id":"76787","full_name":"Firmansyah, Asep Fajar","first_name":"Asep Fajar"},{"first_name":"Diego","id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}]},{"language":[{"iso":"eng"}],"department":[{"_id":"574"}],"user_id":"77309","_id":"54588","status":"public","publication":"The Semantic Web","type":"book_chapter","doi":"10.1007/978-3-031-33455-9_20","title":"RELD: A Knowledge Graph of Relation Extraction Datasets","date_created":"2024-06-04T12:28:49Z","author":[{"full_name":"Manzoor, Ali","id":"77309","last_name":"Manzoor","orcid":"https://orcid.org/0000-0001-8403-5160","first_name":"Ali"},{"full_name":"Saleem, Muhammad","last_name":"Saleem","first_name":"Muhammad"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"first_name":"Mohamed","full_name":"Sherif, Mohamed","id":"67234","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_updated":"2025-09-11T11:41:57Z","publisher":"Springer Nature Switzerland","citation":{"ama":"Manzoor A, Saleem M, Moussallem D, Sherif M, Ngonga Ngomo A-C. RELD: A Knowledge Graph of Relation Extraction Datasets. In: <i>The Semantic Web</i>. Springer Nature Switzerland; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">10.1007/978-3-031-33455-9_20</a>","chicago":"Manzoor, Ali, Muhammad Saleem, Diego Moussallem, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “RELD: A Knowledge Graph of Relation Extraction Datasets.” In <i>The Semantic Web</i>. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">https://doi.org/10.1007/978-3-031-33455-9_20</a>.","ieee":"A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, and A.-C. Ngonga Ngomo, “RELD: A Knowledge Graph of Relation Extraction Datasets,” in <i>The Semantic Web</i>, Cham: Springer Nature Switzerland, 2023.","apa":"Manzoor, A., Saleem, M., Moussallem, D., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2023). RELD: A Knowledge Graph of Relation Extraction Datasets. In <i>The Semantic Web</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">https://doi.org/10.1007/978-3-031-33455-9_20</a>","mla":"Manzoor, Ali, et al. “RELD: A Knowledge Graph of Relation Extraction Datasets.” <i>The Semantic Web</i>, Springer Nature Switzerland, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">10.1007/978-3-031-33455-9_20</a>.","short":"A. Manzoor, M. Saleem, D. Moussallem, M. Sherif, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer Nature Switzerland, Cham, 2023.","bibtex":"@inbook{Manzoor_Saleem_Moussallem_Sherif_Ngonga Ngomo_2023, place={Cham}, title={RELD: A Knowledge Graph of Relation Extraction Datasets}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-33455-9_20\">10.1007/978-3-031-33455-9_20</a>}, booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Manzoor, Ali and Saleem, Muhammad and Moussallem, Diego and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2023} }"},"year":"2023","place":"Cham","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031334542","9783031334559"]},"publication_status":"published"},{"title":"MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs","doi":"10.1007/978-3-031-19433-7_18","publisher":"Springer","date_updated":"2023-01-09T15:50:35Z","volume":13489,"date_created":"2023-01-09T15:50:11Z","author":[{"last_name":"Zahera","full_name":"Zahera, Hamada M.","first_name":"Hamada M."},{"first_name":"Daniel","last_name":"Vollmers","full_name":"Vollmers, Daniel"},{"last_name":"Sherif","full_name":"Sherif, Mohamed Ahmed","first_name":"Mohamed Ahmed"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"year":"2022","page":"303–318","intvolume":"     13489","citation":{"mla":"Zahera, Hamada M., et al. “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs.” <i>The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings</i>, edited by Ulrike Sattler et al., vol. 13489, Springer, 2022, pp. 303–318, doi:<a href=\"https://doi.org/10.1007/978-3-031-19433-7_18\">10.1007/978-3-031-19433-7_18</a>.","bibtex":"@inproceedings{Zahera_Vollmers_Sherif_Ngonga Ngomo_2022, series={Lecture Notes in Computer Science}, title={MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs}, volume={13489}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-19433-7_18\">10.1007/978-3-031-19433-7_18</a>}, booktitle={The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings}, publisher={Springer}, author={Zahera, Hamada M. and Vollmers, Daniel and Sherif, Mohamed Ahmed and Ngonga Ngomo, Axel-Cyrille}, editor={Sattler, Ulrike and Hogan, Aidan and Keet, C. Maria and Presutti, Valentina and Almeida, João Paulo A. and Takeda, Hideaki and Monnin, Pierre and Pirrò, Giuseppe and d’Amato, Claudia}, year={2022}, pages={303–318}, collection={Lecture Notes in Computer Science} }","short":"H.M. Zahera, D. Vollmers, M.A. Sherif, A.-C. Ngonga Ngomo, in: U. Sattler, A. Hogan, C.M. Keet, V. Presutti, J.P.A. Almeida, H. Takeda, P. Monnin, G. Pirrò, C. d’Amato (Eds.), The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings, Springer, 2022, pp. 303–318.","apa":"Zahera, H. M., Vollmers, D., Sherif, M. A., &#38; Ngonga Ngomo, A.-C. (2022). MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs. In U. Sattler, A. Hogan, C. M. Keet, V. Presutti, J. P. A. Almeida, H. Takeda, P. Monnin, G. Pirrò, &#38; C. d’Amato (Eds.), <i>The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings</i> (Vol. 13489, pp. 303–318). Springer. <a href=\"https://doi.org/10.1007/978-3-031-19433-7_18\">https://doi.org/10.1007/978-3-031-19433-7_18</a>","ama":"Zahera HM, Vollmers D, Sherif MA, Ngonga Ngomo A-C. MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs. In: Sattler U, Hogan A, Keet CM, et al., eds. <i>The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings</i>. Vol 13489. Lecture Notes in Computer Science. Springer; 2022:303–318. doi:<a href=\"https://doi.org/10.1007/978-3-031-19433-7_18\">10.1007/978-3-031-19433-7_18</a>","chicago":"Zahera, Hamada M., Daniel Vollmers, Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs.” In <i>The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings</i>, edited by Ulrike Sattler, Aidan Hogan, C. Maria Keet, Valentina Presutti, João Paulo A. Almeida, Hideaki Takeda, Pierre Monnin, Giuseppe Pirrò, and Claudia d’Amato, 13489:303–318. Lecture Notes in Computer Science. Springer, 2022. <a href=\"https://doi.org/10.1007/978-3-031-19433-7_18\">https://doi.org/10.1007/978-3-031-19433-7_18</a>.","ieee":"H. M. Zahera, D. Vollmers, M. A. Sherif, and A.-C. Ngonga Ngomo, “MultPAX: Keyphrase Extraction Using Language Models and Knowledge Graphs,” in <i>The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings</i>, 2022, vol. 13489, pp. 303–318, doi: <a href=\"https://doi.org/10.1007/978-3-031-19433-7_18\">10.1007/978-3-031-19433-7_18</a>."},"language":[{"iso":"eng"}],"_id":"35541","department":[{"_id":"574"}],"user_id":"65716","series_title":"Lecture Notes in Computer Science","editor":[{"full_name":"Sattler, Ulrike","last_name":"Sattler","first_name":"Ulrike"},{"full_name":"Hogan, Aidan","last_name":"Hogan","first_name":"Aidan"},{"first_name":"C. Maria","full_name":"Keet, C. Maria","last_name":"Keet"},{"first_name":"Valentina","last_name":"Presutti","full_name":"Presutti, Valentina"},{"first_name":"João Paulo A.","full_name":"Almeida, João Paulo A.","last_name":"Almeida"},{"first_name":"Hideaki","full_name":"Takeda, Hideaki","last_name":"Takeda"},{"first_name":"Pierre","last_name":"Monnin","full_name":"Monnin, Pierre"},{"first_name":"Giuseppe","full_name":"Pirrò, Giuseppe","last_name":"Pirrò"},{"last_name":"d’Amato","full_name":"d’Amato, Claudia","first_name":"Claudia"}],"status":"public","publication":"The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, Virtual Event, October 23-27, 2022, Proceedings","type":"conference"},{"date_updated":"2023-01-09T15:48:56Z","publisher":"ACM","author":[{"full_name":"Perevalov, Aleksandr","last_name":"Perevalov","first_name":"Aleksandr"},{"first_name":"Andreas","last_name":"Both","full_name":"Both, Andreas"},{"full_name":"Diefenbach, Dennis","last_name":"Diefenbach","first_name":"Dennis"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2023-01-09T15:48:34Z","title":"Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?","doi":"10.1145/3485447.3511940","year":"2022","citation":{"apa":"Perevalov, A., Both, A., Diefenbach, D., &#38; Ngonga Ngomo, A.-C. (2022). Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs? In F. Laforest, R. Troncy, E. Simperl, D. Agarwal, A. Gionis, I. Herman, &#38; L. Médini (Eds.), <i>WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022</i> (pp. 977–986). ACM. <a href=\"https://doi.org/10.1145/3485447.3511940\">https://doi.org/10.1145/3485447.3511940</a>","bibtex":"@inproceedings{Perevalov_Both_Diefenbach_Ngonga Ngomo_2022, title={Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?}, DOI={<a href=\"https://doi.org/10.1145/3485447.3511940\">10.1145/3485447.3511940</a>}, booktitle={WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}, publisher={ACM}, author={Perevalov, Aleksandr and Both, Andreas and Diefenbach, Dennis and Ngonga Ngomo, Axel-Cyrille}, editor={Laforest, Frédérique and Troncy, Raphaël and Simperl, Elena and Agarwal, Deepak and Gionis, Aristides and Herman, Ivan and Médini, Lionel}, year={2022}, pages={977–986} }","short":"A. Perevalov, A. Both, D. Diefenbach, A.-C. Ngonga Ngomo, in: F. Laforest, R. Troncy, E. Simperl, D. Agarwal, A. Gionis, I. Herman, L. Médini (Eds.), WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, ACM, 2022, pp. 977–986.","mla":"Perevalov, Aleksandr, et al. “Can Machine Translation Be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?” <i>WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022</i>, edited by Frédérique Laforest et al., ACM, 2022, pp. 977–986, doi:<a href=\"https://doi.org/10.1145/3485447.3511940\">10.1145/3485447.3511940</a>.","ama":"Perevalov A, Both A, Diefenbach D, Ngonga Ngomo A-C. Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs? In: Laforest F, Troncy R, Simperl E, et al., eds. <i>WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022</i>. ACM; 2022:977–986. doi:<a href=\"https://doi.org/10.1145/3485447.3511940\">10.1145/3485447.3511940</a>","chicago":"Perevalov, Aleksandr, Andreas Both, Dennis Diefenbach, and Axel-Cyrille Ngonga Ngomo. “Can Machine Translation Be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?” In <i>WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022</i>, edited by Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, and Lionel Médini, 977–986. ACM, 2022. <a href=\"https://doi.org/10.1145/3485447.3511940\">https://doi.org/10.1145/3485447.3511940</a>.","ieee":"A. Perevalov, A. Both, D. Diefenbach, and A.-C. Ngonga Ngomo, “Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?,” in <i>WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022</i>, 2022, pp. 977–986, doi: <a href=\"https://doi.org/10.1145/3485447.3511940\">10.1145/3485447.3511940</a>."},"page":"977–986","_id":"35540","user_id":"65716","department":[{"_id":"574"}],"language":[{"iso":"eng"}],"type":"conference","publication":"WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022","editor":[{"first_name":"Frédérique","full_name":"Laforest, Frédérique","last_name":"Laforest"},{"full_name":"Troncy, Raphaël","last_name":"Troncy","first_name":"Raphaël"},{"last_name":"Simperl","full_name":"Simperl, Elena","first_name":"Elena"},{"last_name":"Agarwal","full_name":"Agarwal, Deepak","first_name":"Deepak"},{"full_name":"Gionis, Aristides","last_name":"Gionis","first_name":"Aristides"},{"first_name":"Ivan","full_name":"Herman, Ivan","last_name":"Herman"},{"first_name":"Lionel","last_name":"Médini","full_name":"Médini, Lionel"}],"status":"public"},{"_id":"35538","department":[{"_id":"574"}],"series_title":"CEUR Workshop Proceedings","user_id":"65716","language":[{"iso":"eng"}],"type":"conference_editor","editor":[{"full_name":"Saleem, Muhammad","last_name":"Saleem","first_name":"Muhammad"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"status":"public","publisher":"CEUR-WS.org","date_updated":"2023-01-09T15:48:01Z","volume":3279,"date_created":"2023-01-09T15:47:33Z","title":"Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs co-located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022","year":"2022","corporate_editor":["DE"],"intvolume":"      3279","citation":{"ieee":"M. Saleem, A.-C. Ngonga Ngomo, and DE, Eds., <i>Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs co-located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022</i>, vol. 3279. CEUR-WS.org, 2022.","chicago":"Saleem, Muhammad, Axel-Cyrille Ngonga Ngomo, and DE, eds. <i>Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs Co-Located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022</i>. Vol. 3279. CEUR Workshop Proceedings. CEUR-WS.org, 2022.","apa":"Saleem, M., Ngonga Ngomo, A.-C., &#38; DE (Eds.). (2022). <i>Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs co-located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022</i> (Vol. 3279). CEUR-WS.org.","ama":"Saleem M, Ngonga Ngomo A-C, DE, eds. <i>Proceedings of the QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs Co-Located with 21st International Semantic Web Conference (ISWC 2022), Hangzhou, China, 23-27 October 2022</i>. Vol 3279. CEUR-WS.org; 2022.","short":"M. Saleem, A.-C. 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ACM; 2022:1–10. doi:<a href=\"https://doi.org/10.1145/3511095.3531276\">10.1145/3511095.3531276</a>"},"title":"Kronecker Decomposition for Knowledge Graph Embeddings","doi":"10.1145/3511095.3531276","date_updated":"2023-01-09T15:54:53Z","publisher":"ACM","author":[{"first_name":"Caglar","full_name":"Demir, Caglar","last_name":"Demir"},{"first_name":"Julian","full_name":"Lienen, Julian","last_name":"Lienen"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2023-01-09T15:54:44Z"},{"year":"2022","citation":{"ieee":"A. Perevalov, A.-C. Ngonga Ngomo, and A. 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