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393 Publications


2024 | Conference Paper | LibreCat-ID: 54084
Karalis, N., Bigerl, A., Heidrich, L., Sherif, M., & Ngonga Ngomo, A.-C. (2024). Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins. ESWC.
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2024 | Conference Paper | LibreCat-ID: 54449 | OA
KOUAGOU, N. J., Demir, C., Zahera, H. M. A., Wilke, A., Heindorf, S., Li, J., & Ngonga Ngomo, A.-C. (2024). Universal Knowledge Graph Embeddings. Companion Proceedings of the ACM on Web Conference 2024. Companion Proceedings of the ACM on Web Conference 2024, Singapore. https://doi.org/10.1145/3589335.3651978
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2024 | Book Chapter | LibreCat-ID: 54412
Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2024). ESLM: Improving Entity Summarization by Leveraging Language Models. In The Semantic Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60626-7_9
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2024 | Book Chapter | LibreCat-ID: 54580
Mahmood, Y., Virtema, J., Barlag, T., & Ngonga Ngomo, A.-C. (2024). Computing Repairs Under Functional and Inclusion Dependencies via Argumentation. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56940-1_2
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2023 | Research Data | LibreCat-ID: 45560
Ali, M., Saleem, M., Moussallem, D., Sherif, M., & Ngonga Ngomo, A.-C. (2023). RELD: A Knowledge Graph of Relation Extraction Datasets. LibreCat University. https://doi.org/10.5281/ZENODO.7429677
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2023 | Conference Paper | LibreCat-ID: 33734 | OA
KOUAGOU, N. J., Heindorf, S., Demir, C., & 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, & S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) (Vol. 13870, pp. 209–226). Springer International Publishing. https://doi.org/10.1007/978-3-031-33455-9_13
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2023 | Book Chapter | LibreCat-ID: 45884 | OA
Hanselle, J. M., Hüllermeier, E., Mohr, F., Ngonga Ngomo, A.-C., Sherif, M., Tornede, A., & Wever, M. D. (2023). Configuration and Evaluation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 85–104). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068466
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2023 | Conference Paper | LibreCat-ID: 46514
Becker, A., Ahmed, A. F. A., Sherif, M., & Ngonga Ngomo, A.-C. (2023). COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs. SEMANTiCS. SEMANTiCS 2023, Leipzig, Germany.
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2023 | Conference Paper | LibreCat-ID: 46518
Zahera, H. M. A., Vitiugin, F., Sherif, M., Castillo, C., & Ngonga Ngomo, A.-C. (2023). Using Pre-trained Language Models for Abstractive DBpedia Summarization: A Comparative Study. SEMANTiCS. SEMANTiCS 2023, Leipzig, Germany.
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2023 | Research Data | LibreCat-ID: 45558
Sherif, M., Morim da Silva, A. A., Pestryakova, S., Ahmed, A. F. A., Niemann, S., & Ngonga Ngomo, A.-C. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti. LibreCat University. https://doi.org/10.5281/ZENODO.7560242
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2023 | Book Chapter | LibreCat-ID: 46460
Ngonga Ngomo, A.-C., Demir, C., Kouagou, N. J., Heindorf, S., Karalis, N., & Bigerl, A. (2023). Class Expression Learning with Multiple Representations. In Compendium of Neurosymbolic Artificial Intelligence (pp. 272–286). IOS Press.
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2023 | Journal Article | LibreCat-ID: 46248 | OA
Demir, C., Wiebesiek, M., Lu, R., Ngonga Ngomo, A.-C., & Heindorf, S. (2023). LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML PKDD. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino.
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2023 | Book Chapter | LibreCat-ID: 47421 | OA
Kouagou, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis in ALCHIQ(D). In Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43421-1_12
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2023 | Preprint | LibreCat-ID: 37937 | OA
Sieger, L. N., Heindorf, S., Blübaum, L., & Ngonga Ngomo, A.-C. (2023). Explaining ELH Concept Descriptions through Counterfactual Reasoning. In arXiv:2301.05109.
LibreCat | Download (ext.) | arXiv
 

2023 | Conference Paper | LibreCat-ID: 50797
Röder, M., Kuchelev, D., & Ngonga Ngomo, A.-C. (2023). A Topic Model for the Data Web. In F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, & C. Bobed (Eds.), Knowledge Graphs and Semantic Web (pp. 183–198). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47745-4_14
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2023 | Book Chapter | LibreCat-ID: 46572
Gusmita, R. H., Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In Natural Language Processing and Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_12
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2023 | Book Chapter | LibreCat-ID: 46516
Ahmed, A. F. A., Firmansyah, A. F., Sherif, M., Moussallem, D., & Ngonga Ngomo, A.-C. (2023). Explainable Integration of Knowledge Graphs Using Large Language Models. In Natural Language Processing and Information Systems. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_9
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2023 | Conference Paper | LibreCat-ID: 54581
Manzoor, A., Saleem, M., & Ngonga Ngomo, A.-C. (2023). Unsupervised Relation Extraction with Sentence level Distributional Semantics. 2023 IEEE 17th International Conference on Semantic Computing (ICSC), 274–277.
LibreCat
 

2023 | Conference Paper | LibreCat-ID: 54612
KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis (Extended Abstract). NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy.
LibreCat
 

2023 | Conference Paper | LibreCat-ID: 54608
Zahera, H. M. A., Vitiugin, F., Sherif, M., Castillo, C., & Ngonga Ngomo, A.-C. (2023). Using Pre-trained Language Models for Abstractive DBPEDIA Summarization: A Comparative Study. SEMANTiCS.
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