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446 Publications
2026 | Journal Article | LibreCat-ID: 60990
Gusmita, R. H., Firmansyah, A. F., Zahera, H. M. A., & Ngonga Ngomo, A.-C. (2026). ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian. Data & Knowledge Engineering, 161, 102504. https://doi.org/10.1016/j.datak.2025.102504
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2026 | Book Chapter | LibreCat-ID: 61325 | 
Vollmer, A.-L., Buhl, H. M., Alami, R., Främling, K., Grimminger, A., Booshehri, M., & Ngonga Ngomo, A.-C. (2026). Components of an explanation for co-constructive sXAI. In K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, & K. Thommes (Eds.), Social Explainable AI (pp. 39–53). Springer. https://doi.org/10.1007/978-981-96-5290-7_3
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2026 | Conference Paper | LibreCat-ID: 65494
Manzoor, A., Zahera, H. M., Saleem, M., Mahmood, Y., Speck, R., Khan, H., & Ngonga Ngomo, A.-C. (2026). Document-level Relation Extraction using Reinforcement Learning with Knowledge Graph Feedback. The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings.
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2026 | Conference Paper | LibreCat-ID: 65567
Koopmann, P., Mahmood, Y., Ngonga Ngomo, A.-C., & Tiwari, B. (2026). Can You Tell the Difference? Contrastive Explanations for ABox Entailments. Proceedings of the AAAI Conference on Artificial Intelligence, 40(23), 19189–19197. https://doi.org/10.1609/aaai.v40i23.38993
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2026 | Book Chapter | LibreCat-ID: 65670
Qudus, U., Pokharel, N., Röder, M., & Ngonga Ngomo, A.-C. (2026). No Need to Be a Know-It-All: Fact Checking with Shallow Knowledge. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-25156-5_23
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2026 | Book Chapter | LibreCat-ID: 65736
Kamdem Teyou, L. M., Demir, C., & Ngonga Ngomo, A.-C. (2026). Semantics-Aware Caching for Concept Learning. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-25156-5_26
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2026 | Conference Paper | LibreCat-ID: 65735
Roberts, I., Kamdem Teyou, L. M., Schulz, A., Kouagou, N. J., Ngonga Ngomo, A.-C., & Hammer, B. (2026). A Possible Human-Centered Embedding Space Search in Degenerate Clifford Algebras. ESANN 2026 Proceedings. https://doi.org/10.14428/esann/2026.es2026-283
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2025 | Journal Article | LibreCat-ID: 54450 |
Mindlin, D., Beer, F., Sieger, L. N., Heindorf, S., Cimiano, P., Esposito, E., & Ngonga Ngomo, A.-C. (2025). Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches. Artificial Intelligence Review, 58(3), Article 81. https://doi.org/10.1007/s10462-024-11007-7
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2025 | Conference Paper | LibreCat-ID: 59910
Mahmood, Y., Hecher, M., & Ngonga Ngomo, A.-C. (2025). Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases. Proceedings of the AAAI Conference on Artificial Intelligence, 39(14), 15058–15066. https://doi.org/10.1609/aaai.v39i14.33651
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2025 | Conference Paper | LibreCat-ID: 63027
Ihtassine, R., Firmansyah, A. F., Srivastava, N., Manzoor, A., Ngonga Ngomo, A.-C., & Sherif, M. A. (2025). NL2LS: LLM-based Automatic Linking of Knowledge Graphs. Proceedings of the Knowledge Capture Conference 2025. https://doi.org/10.1145/3731443.3771374
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2025 | Conference Paper | LibreCat-ID: 61202
Becker, A., Ngonga Ngomo, A.-C., & Sherif, M. (2025). GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings. The Semantic Web – ISWC 2025. ISWC 2025.
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2025 | Journal Article | LibreCat-ID: 61134
Manzoor, A., Speck, R., Zahera, H. M. A., Saleem, M., Moussallem, D., & Ngonga Ngomo, A.-C. (2025). Multilingual Relation Extraction - A Survey. IEEE Access, 1–1. https://doi.org/10.1109/access.2025.3604258
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2025 | Conference Paper | LibreCat-ID: 61234 |
Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp, S., Ngonga Ngomo, A.-C., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A.-L., & Wachsmuth, H. (n.d.). Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Annual Meeting of the Special Interest Group on Discourse and Dialogue.
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2025 | Journal Article | LibreCat-ID: 61819
Papenkordt, J., Ngonga Ngomo, A.-C., & Thommes, K. (2025). Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection? Behaviour & Information Technology, 1–22. https://doi.org/10.1080/0144929x.2025.2568928
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2025 | Conference Paper | LibreCat-ID: 62119
Ihtassine, R., Firmansyah, A. F., Srivastava, N., Ali, M., Ngonga Ngomo, A.-C., & Sherif, M. (2025). NL2LS: LLM-based Automatic Linking of Knowledge Graphs. Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA.
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2025 | Conference Paper | LibreCat-ID: 61041
Moteu Ngoli, T., Kouagou, N. J., Zahera, H. M. A., & Ngonga Ngomo, A.-C. (2025). Benchmarking Knowledge Editing using Logical Rules. Proceedings of the 24th International Semantic Web Conference (ISWC 2025), pp 41-56. https://doi.org/10.1007/978-3-032-09530-5_3
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2025 | Conference Paper | LibreCat-ID: 61753 |
Srivastava, N., Kuchelev, D., Moteu Ngoli, T., Shetty, K., Röder, M., Zahera, H. M. A., Moussallem, D., & Ngonga Ngomo, A.-C. (2025). LOLA – An Open-Source Massively Multilingual Large Language Model. In O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. D. Eugenio, & S. Schockaert (Eds.), Proceedings of the 31st International Conference on Computational Linguistics (pp. 6420–6446). Association for Computational Linguistics.
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2025 | Book Chapter | LibreCat-ID: 63507
Pandit, G., Röder, M., & Ngonga Ngomo, A.-C. (2025). Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-94575-5_4
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2025 | Conference Paper | LibreCat-ID: 63572
Demir, C., Yekini, M. O., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C. (2025). Tree-Based OWL Class Expression Learner over Large Graphs. Lecture Notes in Computer Science. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto. https://doi.org/10.1007/978-3-032-06066-2_29
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