[{"publication_identifier":{"issn":["0169-023X"]},"intvolume":" 161","page":"102504","citation":{"apa":"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","short":"R.H. Gusmita, A.F. Firmansyah, H.M.A. Zahera, A.-C. Ngonga Ngomo, Data & Knowledge Engineering 161 (2026) 102504.","bibtex":"@article{Gusmita_Firmansyah_Zahera_Ngonga Ngomo_2026, title={ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian}, volume={161}, DOI={https://doi.org/10.1016/j.datak.2025.102504}, journal={Data & Knowledge Engineering}, author={Gusmita, Ria Hari and Firmansyah, Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Ngonga Ngomo, Axel-Cyrille}, year={2026}, pages={102504} }","mla":"Gusmita, Ria Hari, et al. “ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian.” Data & Knowledge Engineering, vol. 161, 2026, p. 102504, doi:https://doi.org/10.1016/j.datak.2025.102504.","ieee":"R. H. Gusmita, A. F. Firmansyah, H. M. A. Zahera, and A.-C. Ngonga Ngomo, “ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian,” Data & Knowledge Engineering, vol. 161, p. 102504, 2026, doi: https://doi.org/10.1016/j.datak.2025.102504.","chicago":"Gusmita, Ria Hari, Asep Fajar Firmansyah, Hamada Mohamed Abdelsamee Zahera, and Axel-Cyrille Ngonga Ngomo. “ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian.” Data & Knowledge Engineering 161 (2026): 102504. https://doi.org/10.1016/j.datak.2025.102504.","ama":"Gusmita RH, Firmansyah AF, Zahera HMA, Ngonga Ngomo A-C. ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian. Data & Knowledge Engineering. 2026;161:102504. doi:https://doi.org/10.1016/j.datak.2025.102504"},"volume":161,"author":[{"first_name":"Ria Hari","last_name":"Gusmita","id":"71039","full_name":"Gusmita, Ria Hari"},{"first_name":"Asep Fajar","id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah"},{"first_name":"Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_updated":"2025-08-25T09:40:13Z","doi":"https://doi.org/10.1016/j.datak.2025.102504","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S0169023X25000990?utm_campaign=STMJ_220042_AUTH_SERV_PA&utm_medium=email&utm_acid=78351008&SIS_ID=&dgcid=STMJ_220042_AUTH_SERV_PA&CMX_ID=&utm_in=DM591673&utm_source=AC_"}],"type":"journal_article","status":"public","department":[{"_id":"574"}],"user_id":"71039","_id":"60990","article_type":"original","year":"2026","date_created":"2025-08-24T11:38:51Z","title":"ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian","publication":"Data & Knowledge Engineering","abstract":[{"lang":"eng","text":"Large Language Models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing tasks. However, their effectiveness in low-resource languages remains underexplored, particularly in complex tasks such as end-to-end Entity Linking (EL), which requires both mention detection and disambiguation against a knowledge base (KB). In earlier work, we introduced IndEL — the first end-to-end EL benchmark dataset for the Indonesian language — covering both a general domain (news) and a specific domain (religious text from the Indonesian translation of the Quran), and evaluated four traditional end-to-end EL systems on this dataset. In this study, we propose ELEVATE-ID, a comprehensive evaluation framework for assessing LLM performance on end-to-end EL in Indonesian. The framework evaluates LLMs under both zero-shot and fine-tuned conditions, using multilingual and Indonesian monolingual models, with Wikidata as the target KB. Our experiments include performance benchmarking, generalization analysis across domains, and systematic error analysis. Results show that GPT-4 and GPT-3.5 achieve the highest accuracy in zero-shot and fine-tuned settings, respectively. However, even fine-tuned GPT-3.5 underperforms compared to DBpedia Spotlight — the weakest of the traditional model baselines — in the general domain. Interestingly, GPT-3.5 outperforms Babelfy in the specific domain. Generalization analysis indicates that fine-tuned GPT-3.5 adapts more effectively to cross-domain and mixed-domain scenarios. Error analysis uncovers persistent challenges that hinder LLM performance: difficulties with non-complete mentions, acronym disambiguation, and full-name recognition in formal contexts. These issues point to limitations in mention boundary detection and contextual grounding. Indonesian-pretrained LLMs, Komodo and Merak, reveal core weaknesses: template leakage and entity hallucination, respectively—underscoring architectural and training limitations in low-resource end-to-end EL.11Code and dataset are available at https://github.com/dice-group/ELEVATE-ID."}],"language":[{"iso":"eng"}],"keyword":["LLMs","Evaluation","End-to-end EL","Indonesian"]},{"year":"2026","citation":{"mla":"Koopmann, Patrick, et al. “Can You Tell the Difference? Contrastive Explanations for ABox Entailments.” Pre-Print of Paper Accepted at AAAI 2026, 2026.","short":"P. Koopmann, Y. Mahmood, A.-C. Ngonga Ngomo, B. Tiwari, Pre-Print of Paper Accepted at AAAI 2026 (2026).","bibtex":"@article{Koopmann_Mahmood_Ngonga Ngomo_Tiwari_2026, title={Can You Tell the Difference? Contrastive Explanations for ABox Entailments}, journal={Pre-print of paper accepted at AAAI 2026}, author={Koopmann, Patrick and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille and Tiwari, Balram}, year={2026} }","apa":"Koopmann, P., Mahmood, Y., Ngonga Ngomo, A.-C., & Tiwari, B. (2026). Can You Tell the Difference? Contrastive Explanations for ABox Entailments. In Pre-print of paper accepted at AAAI 2026.","ieee":"P. Koopmann, Y. Mahmood, A.-C. Ngonga Ngomo, and B. Tiwari, “Can You Tell the Difference? Contrastive Explanations for ABox Entailments,” Pre-print of paper accepted at AAAI 2026. 2026.","chicago":"Koopmann, Patrick, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, and Balram Tiwari. “Can You Tell the Difference? Contrastive Explanations for ABox Entailments.” Pre-Print of Paper Accepted at AAAI 2026, 2026.","ama":"Koopmann P, Mahmood Y, Ngonga Ngomo A-C, Tiwari B. Can You Tell the Difference? Contrastive Explanations for ABox Entailments. Pre-print of paper accepted at AAAI 2026. Published online 2026."},"title":"Can You Tell the Difference? Contrastive Explanations for ABox Entailments","date_updated":"2025-12-04T21:08:32Z","date_created":"2025-12-01T12:03:06Z","author":[{"full_name":"Koopmann, Patrick","last_name":"Koopmann","first_name":"Patrick"},{"first_name":"Yasir","last_name":"Mahmood","full_name":"Mahmood, Yasir","id":"99353"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"first_name":"Balram","full_name":"Tiwari, Balram","last_name":"Tiwari"}],"abstract":[{"text":"We introduce the notion of contrastive ABox explanations to answer questions of the type \"Why is a an instance of C, but b is not?\". While there are various approaches for explaining positive entailments (why is C(a) entailed by the knowledge base) as well as missing entailments (why is C(b) not entailed) in isolation, contrastive explanations consider both at the same time, which allows them to focus on the relevant commonalities and differences between a and b. We develop an appropriate notion of contrastive explanations for the special case of ABox reasoning with description logic ontologies, and analyze the computational complexity for different variants under different optimality criteria, considering lightweight as well as more expressive description logics. We implemented a first method for computing one variant of contrastive explanations, and evaluated it on generated problems for realistic knowledge bases.","lang":"eng"}],"status":"public","publication":"Pre-print of paper accepted at AAAI 2026","type":"preprint","language":[{"iso":"eng"}],"external_id":{"arxiv":["2511.11281"]},"_id":"62721","department":[{"_id":"574"}],"user_id":"99353"},{"publication":"Social Explainable AI","language":[{"iso":"eng"}],"quality_controlled":"1","year":"2026","publisher":"Springer","date_created":"2025-09-17T10:16:52Z","title":"Components of an explanation for co-constructive sXAI","type":"book_chapter","editor":[{"full_name":"Rohlfing, Katharina J.","last_name":"Rohlfing","first_name":"Katharina J."},{"last_name":"Främling","full_name":"Främling, Kary","first_name":"Kary"},{"first_name":"Brian","full_name":"Lim, Brian","last_name":"Lim"},{"first_name":"Suzana","last_name":"Alpsancar","full_name":"Alpsancar, Suzana"},{"last_name":"Thommes","full_name":"Thommes, Kirsten","first_name":"Kirsten"}],"status":"public","_id":"61325","project":[{"name":"TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten","_id":"112"},{"name":"TRR 318; TP A01: Adaptives Erklären","_id":"111"},{"_id":"114","name":"TRR 318; TP A04: Integration des technischen Modells in das Partnermodell bei der Erklärung von digitalen Artefakten"},{"name":"TRR 318 - Subproject B5","_id":"123"},{"_id":"118","name":"TRR 318: Project Area INF"}],"department":[{"_id":"660"}],"user_id":"90826","publication_identifier":{"eisbn":["978-981-96-5290-7"]},"publication_status":"epub_ahead","related_material":{"link":[{"relation":"original","url":"https://link.springer.com/chapter/10.1007/978-981-96-5290-7_3"}]},"page":"39-53","citation":{"ama":"Vollmer A-L, Buhl HM, Alami R, et al. Components of an explanation for co-constructive sXAI. In: Rohlfing KJ, Främling K, Lim B, Alpsancar S, Thommes K, eds. Social Explainable AI. Springer; 2026:39-53. doi:10.1007/978-981-96-5290-7_3","chicago":"Vollmer, Anna-Lisa, Heike M. Buhl, Rachid Alami, Kary Främling, Angela Grimminger, Meisam Booshehri, and Axel-Cyrille Ngonga Ngomo. “Components of an Explanation for Co-Constructive SXAI.” In Social Explainable AI, edited by Katharina J. Rohlfing, Kary Främling, Brian Lim, Suzana Alpsancar, and Kirsten Thommes, 39–53. Springer, 2026. https://doi.org/10.1007/978-981-96-5290-7_3.","ieee":"A.-L. Vollmer et al., “Components of an explanation for co-constructive sXAI,” in Social Explainable AI, K. J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, and K. Thommes, Eds. Springer, 2026, pp. 39–53.","mla":"Vollmer, Anna-Lisa, et al. “Components of an Explanation for Co-Constructive SXAI.” Social Explainable AI, edited by Katharina J. Rohlfing et al., Springer, 2026, pp. 39–53, doi:10.1007/978-981-96-5290-7_3.","short":"A.-L. Vollmer, H.M. Buhl, R. Alami, K. Främling, A. Grimminger, M. Booshehri, A.-C. Ngonga Ngomo, in: K.J. Rohlfing, K. Främling, B. Lim, S. Alpsancar, K. Thommes (Eds.), Social Explainable AI, Springer, 2026, pp. 39–53.","bibtex":"@inbook{Vollmer_Buhl_Alami_Främling_Grimminger_Booshehri_Ngonga Ngomo_2026, title={Components of an explanation for co-constructive sXAI}, DOI={10.1007/978-981-96-5290-7_3}, booktitle={Social Explainable AI}, publisher={Springer}, author={Vollmer, Anna-Lisa and Buhl, Heike M. and Alami, Rachid and Främling, Kary and Grimminger, Angela and Booshehri, Meisam and Ngonga Ngomo, Axel-Cyrille}, editor={Rohlfing, Katharina J. and Främling, Kary and Lim, Brian and Alpsancar, Suzana and Thommes, Kirsten}, year={2026}, pages={39–53} }","apa":"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"},"date_updated":"2026-03-23T18:28:01Z","oa":"1","author":[{"first_name":"Anna-Lisa","last_name":"Vollmer","full_name":"Vollmer, Anna-Lisa"},{"first_name":"Heike M.","last_name":"Buhl","id":"27152","full_name":"Buhl, Heike M."},{"first_name":"Rachid","full_name":"Alami, Rachid","last_name":"Alami"},{"first_name":"Kary","last_name":"Främling","full_name":"Främling, Kary"},{"first_name":"Angela","full_name":"Grimminger, Angela","id":"57578","last_name":"Grimminger"},{"first_name":"Meisam","full_name":"Booshehri, Meisam","last_name":"Booshehri"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"doi":"10.1007/978-981-96-5290-7_3","main_file_link":[{"open_access":"1","url":"https://link.springer.com/chapter/10.1007/978-981-96-5290-7_3"}]},{"keyword":["dice hamada hashim kiakadamie mahmood manzoor ngonga rene sail saleem"],"language":[{"iso":"eng"}],"project":[{"name":"SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen","_id":"285"}],"_id":"65494","user_id":"77309","department":[{"_id":"504"}],"status":"public","type":"conference","publication":"The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings","title":"Document-level Relation Extraction using Reinforcement Learning with Knowledge Graph Feedback","date_updated":"2026-04-23T23:14:33Z","author":[{"id":"77309","full_name":"Manzoor, Ali","orcid":"https://orcid.org/0000-0001-8403-5160","last_name":"Manzoor","first_name":"Ali"},{"first_name":"Hammada M.","last_name":"Zahera","full_name":"Zahera, Hammada M."},{"full_name":"Saleem, Muhammad","last_name":"Saleem","first_name":"Muhammad"},{"last_name":"Mahmood","full_name":"Mahmood, Yasir","id":"99353","first_name":"Yasir"},{"first_name":"René","last_name":"Speck","id":"70843","full_name":"Speck, René"},{"orcid":"0009-0006-5953-480X","last_name":"Khan","full_name":"Khan, Hashim","id":"76510","first_name":"Hashim"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_created":"2026-04-23T23:11:26Z","year":"2026","citation":{"apa":"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.","bibtex":"@inproceedings{Manzoor_Zahera_Saleem_Mahmood_Speck_Khan_Ngonga Ngomo_2026, title={Document-level Relation Extraction using Reinforcement Learning with Knowledge Graph Feedback}, booktitle={The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings}, author={Manzoor, Ali and Zahera, Hammada M. and Saleem, Muhammad and Mahmood, Yasir and Speck, René and Khan, Hashim and Ngonga Ngomo, Axel-Cyrille}, year={2026} }","short":"A. Manzoor, H.M. Zahera, M. Saleem, Y. Mahmood, R. Speck, H. Khan, A.-C. Ngonga Ngomo, in: The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings, 2026.","mla":"Manzoor, Ali, et al. “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, 2026.","ama":"Manzoor A, Zahera HM, Saleem M, et al. Document-level Relation Extraction using Reinforcement Learning with Knowledge Graph Feedback. In: The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings. ; 2026.","ieee":"A. Manzoor et al., “Document-level Relation Extraction using Reinforcement Learning with Knowledge Graph Feedback,” 2026.","chicago":"Manzoor, Ali, Hammada M. Zahera, Muhammad Saleem, Yasir Mahmood, René Speck, Hashim Khan, and Axel-Cyrille Ngonga Ngomo. “Document-Level Relation Extraction Using Reinforcement Learning with Knowledge Graph Feedback.” In The Semantic Web – 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik , Croatia, May 10-14, 2026, Proceedings, 2026."}},{"abstract":[{"lang":"eng","text":"We introduce the notion of contrastive ABox explanations to answer questions of the type “Why is a an instance of C, but b is not?”. While there are various approaches for explaining positive entailments (why is C(a) entailed by the knowledge base) as well as missing entailments (why is C(b) not entailed) in isolation, contrastive explanations consider both at the same time, which allows them to focus on the relevant commonalities and differences between a and b. We develop an appropriate notion of contrastive explanations for the special case of ABox reasoning with description logic ontologies, and analyze the computational complexity for different variants under different optimality criteria, considering lightweight as well as more expressive description logics. We\r\nimplemented a first method for computing one variant of contrastive explanations, and evaluated it on generated problems for realistic knowledge bases."}],"status":"public","publication":"Proceedings of the AAAI Conference on Artificial Intelligence","type":"conference","language":[{"iso":"eng"}],"_id":"65567","project":[{"name":"TRR 318 - Project Area C","_id":"117"}],"department":[{"_id":"574"}],"user_id":"99353","year":"2026","page":"19189-19197","intvolume":" 40","citation":{"apa":"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","bibtex":"@inproceedings{Koopmann_Mahmood_Ngonga Ngomo_Tiwari_2026, title={Can You Tell the Difference? Contrastive Explanations for ABox Entailments}, volume={40}, DOI={10.1609/aaai.v40i23.38993}, number={23}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, publisher={Association for the Advancement of Artificial Intelligence (AAAI)}, author={Koopmann, Patrick and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille and Tiwari, Balram}, year={2026}, pages={19189–19197} }","mla":"Koopmann, Patrick, et al. “Can You Tell the Difference? Contrastive Explanations for ABox Entailments.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 23, Association for the Advancement of Artificial Intelligence (AAAI), 2026, pp. 19189–97, doi:10.1609/aaai.v40i23.38993.","short":"P. Koopmann, Y. Mahmood, A.-C. Ngonga Ngomo, B. Tiwari, in: Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2026, pp. 19189–19197.","ama":"Koopmann P, Mahmood Y, Ngonga Ngomo A-C, Tiwari B. Can You Tell the Difference? Contrastive Explanations for ABox Entailments. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 40. Association for the Advancement of Artificial Intelligence (AAAI); 2026:19189-19197. doi:10.1609/aaai.v40i23.38993","ieee":"P. Koopmann, Y. Mahmood, A.-C. Ngonga Ngomo, and B. Tiwari, “Can You Tell the Difference? Contrastive Explanations for ABox Entailments,” in Proceedings of the AAAI Conference on Artificial Intelligence, 2026, vol. 40, no. 23, pp. 19189–19197, doi: 10.1609/aaai.v40i23.38993.","chicago":"Koopmann, Patrick, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, and Balram Tiwari. “Can You Tell the Difference? Contrastive Explanations for ABox Entailments.” In Proceedings of the AAAI Conference on Artificial Intelligence, 40:19189–97. Association for the Advancement of Artificial Intelligence (AAAI), 2026. https://doi.org/10.1609/aaai.v40i23.38993."},"publication_identifier":{"issn":["2374-3468","2159-5399"]},"publication_status":"published","issue":"23","title":"Can You Tell the Difference? Contrastive Explanations for ABox Entailments","doi":"10.1609/aaai.v40i23.38993","date_updated":"2026-05-05T15:22:12Z","publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","volume":40,"date_created":"2026-05-05T15:15:49Z","author":[{"first_name":"Patrick","full_name":"Koopmann, Patrick","last_name":"Koopmann"},{"first_name":"Yasir","last_name":"Mahmood","full_name":"Mahmood, Yasir","id":"99353"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"},{"last_name":"Tiwari","full_name":"Tiwari, Balram","first_name":"Balram"}]},{"language":[{"iso":"eng"}],"abstract":[{"text":"In the last decade, there has been increasing interest in allowing users to understand how the predictions of machine-learned models come about, thus increasing transparency and empowering users to understand and potentially contest those decisions.Dialogue-based approaches, in contrast to traditional one-shot eXplainable Artificial Intelligence (XAI) methods, facilitate interactive, in-depth exploration through multi-turn dialogues, simulating expert conversations. This paper reviews the current state of dialogue-based XAI, presenting a systematic review of 1,339 publications, narrowed down to 14 based on inclusion criteria. We explore theoretical foundations of the systems, propose key dimensions along which different solutions to dialogue-based XAI differ, and identify key use cases, target audiences, system components, and the types of supported queries and responses. Furthermore, we investigate the current paradigms by which systems are evaluated and highlight their key limitations. Key findings include identifying the main use cases, objectives, and audiences targeted by dialogue-based XAI methods, and summarize the main types of questions and information needs. Beyond discussing avenues for future work, we present a meta-architecture for these systems from existing literature and outlined prevalent theoretical frameworks.","lang":"eng"}],"publication":"Artificial Intelligence Review","title":"Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches","publisher":"Springer","date_created":"2024-05-26T18:55:58Z","year":"2025","issue":"3","article_number":"81","_id":"54450","user_id":"11871","department":[{"_id":"760"},{"_id":"574"}],"status":"public","type":"journal_article","main_file_link":[{"open_access":"1","url":"https://link.springer.com/article/10.1007/s10462-024-11007-7"}],"doi":"10.1007/s10462-024-11007-7","date_updated":"2025-01-24T20:09:20Z","oa":"1","author":[{"full_name":"Mindlin, Dimitry","last_name":"Mindlin","first_name":"Dimitry"},{"first_name":"Fabian","last_name":"Beer","full_name":"Beer, Fabian"},{"full_name":"Sieger, Leonie Nora","id":"93402","last_name":"Sieger","first_name":"Leonie Nora"},{"first_name":"Stefan","id":"11871","full_name":"Heindorf, Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865"},{"first_name":"Philipp","last_name":"Cimiano","full_name":"Cimiano, Philipp"},{"last_name":"Esposito","full_name":"Esposito, Elena","first_name":"Elena"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"volume":58,"citation":{"ama":"Mindlin D, Beer F, Sieger LN, et al. Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches. Artificial Intelligence Review. 2025;58(3). doi:10.1007/s10462-024-11007-7","chicago":"Mindlin, Dimitry, Fabian Beer, Leonie Nora Sieger, Stefan Heindorf, Philipp Cimiano, Elena Esposito, and Axel-Cyrille Ngonga Ngomo. “Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches.” Artificial Intelligence Review 58, no. 3 (2025). https://doi.org/10.1007/s10462-024-11007-7.","ieee":"D. Mindlin et al., “Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches,” Artificial Intelligence Review, vol. 58, no. 3, Art. no. 81, 2025, doi: 10.1007/s10462-024-11007-7.","bibtex":"@article{Mindlin_Beer_Sieger_Heindorf_Cimiano_Esposito_Ngonga Ngomo_2025, title={Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches}, volume={58}, DOI={10.1007/s10462-024-11007-7}, number={381}, journal={Artificial Intelligence Review}, publisher={Springer}, author={Mindlin, Dimitry and Beer, Fabian and Sieger, Leonie Nora and Heindorf, Stefan and Cimiano, Philipp and Esposito, Elena and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","mla":"Mindlin, Dimitry, et al. “Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches.” Artificial Intelligence Review, vol. 58, no. 3, 81, Springer, 2025, doi:10.1007/s10462-024-11007-7.","short":"D. Mindlin, F. Beer, L.N. Sieger, S. Heindorf, P. Cimiano, E. Esposito, A.-C. Ngonga Ngomo, Artificial Intelligence Review 58 (2025).","apa":"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"},"intvolume":" 58","publication_status":"published"},{"type":"conference","status":"public","project":[{"name":"TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens","_id":"121"}],"_id":"59910","user_id":"99353","department":[{"_id":"574"}],"publication_status":"published","publication_identifier":{"issn":["2374-3468","2159-5399"]},"citation":{"chicago":"Mahmood, Yasir, Markus Hecher, and Axel-Cyrille Ngonga Ngomo. “Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases.” In Proceedings of the AAAI Conference on Artificial Intelligence, 39:15058–66. Association for the Advancement of Artificial Intelligence (AAAI), 2025. https://doi.org/10.1609/aaai.v39i14.33651.","ieee":"Y. Mahmood, M. Hecher, and A.-C. Ngonga Ngomo, “Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases,” in Proceedings of the AAAI Conference on Artificial Intelligence, 2025, vol. 39, no. 14, pp. 15058–15066, doi: 10.1609/aaai.v39i14.33651.","ama":"Mahmood Y, Hecher M, Ngonga Ngomo A-C. Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 39. Association for the Advancement of Artificial Intelligence (AAAI); 2025:15058-15066. doi:10.1609/aaai.v39i14.33651","bibtex":"@inproceedings{Mahmood_Hecher_Ngonga Ngomo_2025, title={Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases}, volume={39}, DOI={10.1609/aaai.v39i14.33651}, number={14}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, publisher={Association for the Advancement of Artificial Intelligence (AAAI)}, author={Mahmood, Yasir and Hecher, Markus and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={15058–15066} }","short":"Y. Mahmood, M. Hecher, A.-C. Ngonga Ngomo, in: Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2025, pp. 15058–15066.","mla":"Mahmood, Yasir, et al. “Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 14, Association for the Advancement of Artificial Intelligence (AAAI), 2025, pp. 15058–66, doi:10.1609/aaai.v39i14.33651.","apa":"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"},"intvolume":" 39","page":"15058-15066","date_updated":"2026-02-20T10:07:00Z","author":[{"first_name":"Yasir","id":"99353","full_name":"Mahmood, Yasir","last_name":"Mahmood"},{"full_name":"Hecher, Markus","last_name":"Hecher","first_name":"Markus"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"volume":39,"doi":"10.1609/aaai.v39i14.33651","publication":"Proceedings of the AAAI Conference on Artificial Intelligence","abstract":[{"lang":"eng","text":"The connection between inconsistent databases and Dung’s abstract argumentation framework has recently drawn growing interest. Specifically, an inconsistent database, involving certain types of integrity constraints such as functional and inclusion dependencies, can be viewed as an argumentation framework in Dung’s setting. Nevertheless, no prior work has explored the exact expressive power of Dung’s theory of argumentation when compared to inconsistent databases and integrity constraints. In this paper, we close this gap by arguing that an argumentation framework can also be viewed as an inconsistent database. We first establish a connection between subset-repairs for databases and extensions for AFs considering conflict-free, naive, admissible, and preferred semantics. Further, we define a new family of attribute-based repairs based on the principle of maximal content preservation. The effectiveness of these repairs is then highlighted by connecting them to stable, semi-stable, and stage semantics. Our main contributions include translating an argumentation framework into a database together with integrity constraints. Moreover, this translation can be achieved in polynomial time, which is essential in transferring complexity results between the two formalisms."}],"language":[{"iso":"eng"}],"issue":"14","year":"2025","publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","date_created":"2025-05-15T11:05:36Z","title":"Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases"},{"_id":"63027","user_id":"77309","language":[{"iso":"eng"}],"publication":"Proceedings of the Knowledge Capture Conference 2025","type":"conference","status":"public","publisher":"ACM","date_updated":"2026-03-09T12:42:07Z","author":[{"last_name":"Ihtassine","full_name":"Ihtassine, Reda","id":"103911","first_name":"Reda"},{"last_name":"Firmansyah","id":"76787","full_name":"Firmansyah, Asep Fajar","first_name":"Asep Fajar"},{"first_name":"Nikit","last_name":"Srivastava","orcid":"0009-0004-5164-4911","id":"70066","full_name":"Srivastava, Nikit"},{"first_name":"Ali","id":"77309","full_name":"Manzoor, Ali","orcid":"https://orcid.org/0000-0001-8403-5160","last_name":"Manzoor"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"},{"first_name":"Mohamed Ahmed","last_name":"Sherif","full_name":"Sherif, Mohamed Ahmed"}],"date_created":"2025-12-10T17:19:20Z","title":"NL2LS: LLM-based Automatic Linking of Knowledge Graphs","doi":"10.1145/3731443.3771374","publication_status":"published","year":"2025","citation":{"mla":"Ihtassine, Reda, et al. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” Proceedings of the Knowledge Capture Conference 2025, ACM, 2025, doi:10.1145/3731443.3771374.","short":"R. Ihtassine, A.F. Firmansyah, N. Srivastava, A. Manzoor, A.-C. Ngonga Ngomo, M.A. Sherif, in: Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.","bibtex":"@inproceedings{Ihtassine_Firmansyah_Srivastava_Manzoor_Ngonga Ngomo_Sherif_2025, title={NL2LS: LLM-based Automatic Linking of Knowledge Graphs}, DOI={10.1145/3731443.3771374}, booktitle={Proceedings of the Knowledge Capture Conference 2025}, publisher={ACM}, author={Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed Ahmed}, year={2025} }","apa":"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","chicago":"Ihtassine, Reda, Asep Fajar Firmansyah, Nikit Srivastava, Ali Manzoor, Axel-Cyrille Ngonga Ngomo, and Mohamed Ahmed Sherif. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” In Proceedings of the Knowledge Capture Conference 2025. ACM, 2025. https://doi.org/10.1145/3731443.3771374.","ieee":"R. Ihtassine, A. F. Firmansyah, N. Srivastava, A. Manzoor, A.-C. Ngonga Ngomo, and M. A. Sherif, “NL2LS: LLM-based Automatic Linking of Knowledge Graphs,” 2025, doi: 10.1145/3731443.3771374.","ama":"Ihtassine R, Firmansyah AF, Srivastava N, Manzoor A, Ngonga Ngomo A-C, Sherif MA. NL2LS: LLM-based Automatic Linking of Knowledge Graphs. In: Proceedings of the Knowledge Capture Conference 2025. ACM; 2025. doi:10.1145/3731443.3771374"}},{"publication":"Knowledge Engineering and Knowledge Management","type":"conference","abstract":[{"lang":"eng","text":"Generating SPARQL queries is crucial for extracting relevant information from diverse knowledge graphs. However, the structural and semantic differences among these graphs necessitate training or fine-tuning a tailored model for each one. In this paper, we propose UniQ-Gen, a unified query generation approach to generate SPARQL queries across various knowledge graphs. UniQ-Gen integrates entity recognition, disambiguation, and linking through a BERT-NER model and employs cross-encoder ranking to align questions with the Freebase ontology. We conducted several experiments on different benchmark datasets such as LC-QuAD 2.0, GrailQA, and QALD-10. The evaluation results demonstrate that our approach achieves performance equivalent to or better than models fine-tuned for individual knowledge graphs. This finding suggests that fine-tuning a unified model on a heterogeneous dataset of SPARQL queries across different knowledge graphs eliminates the need for separate models for each graph, thereby reducing resource requirements."}],"editor":[{"first_name":"Mehwish","full_name":"Alam, Mehwish","last_name":"Alam"},{"first_name":"Marco","full_name":"Rospocher, Marco","last_name":"Rospocher"},{"full_name":"van Erp, Marieke","last_name":"van Erp","first_name":"Marieke"},{"first_name":"Laura","full_name":"Hollink, Laura","last_name":"Hollink"},{"first_name":"Genet Asefa","full_name":"Gesese, Genet Asefa","last_name":"Gesese"}],"status":"public","_id":"57324","user_id":"70066","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-3-031-77792-9"]},"year":"2025","place":"Cham","page":"174–189","citation":{"short":"D. Vollmers, N. Srivastava, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga Ngomo, in: M. Alam, M. Rospocher, M. van Erp, L. Hollink, G.A. Gesese (Eds.), Knowledge Engineering and Knowledge Management, Springer Nature Switzerland, Cham, 2025, pp. 174–189.","mla":"Vollmers, Daniel, et al. “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs.” Knowledge Engineering and Knowledge Management, edited by Mehwish Alam et al., Springer Nature Switzerland, 2025, pp. 174–189, doi:https://doi.org/10.1007/978-3-031-77792-9_11.","bibtex":"@inproceedings{Vollmers_Srivastava_Zahera_Moussallem_Ngonga Ngomo_2025, place={Cham}, title={UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs}, DOI={https://doi.org/10.1007/978-3-031-77792-9_11}, booktitle={Knowledge Engineering and Knowledge Management}, publisher={Springer Nature Switzerland}, author={Vollmers, Daniel and Srivastava, Nikit and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, editor={Alam, Mehwish and Rospocher, Marco and van Erp, Marieke and Hollink, Laura and Gesese, Genet Asefa}, year={2025}, pages={174–189} }","apa":"Vollmers, D., Srivastava, N., Zahera, H. M. A., Moussallem, D., & Ngonga Ngomo, A.-C. (2025). UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, & G. A. Gesese (Eds.), Knowledge Engineering and Knowledge Management (pp. 174–189). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-77792-9_11","ieee":"D. Vollmers, N. Srivastava, H. M. A. Zahera, D. Moussallem, and A.-C. Ngonga Ngomo, “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs,” in Knowledge Engineering and Knowledge Management, 2025, pp. 174–189, doi: https://doi.org/10.1007/978-3-031-77792-9_11.","chicago":"Vollmers, Daniel, Nikit Srivastava, Hamada Mohamed Abdelsamee Zahera, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs.” In Knowledge Engineering and Knowledge Management, edited by Mehwish Alam, Marco Rospocher, Marieke van Erp, Laura Hollink, and Genet Asefa Gesese, 174–189. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77792-9_11.","ama":"Vollmers D, Srivastava N, Zahera HMA, Moussallem D, Ngonga Ngomo A-C. UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs. In: Alam M, Rospocher M, van Erp M, Hollink L, Gesese GA, eds. Knowledge Engineering and Knowledge Management. Springer Nature Switzerland; 2025:174–189. doi:https://doi.org/10.1007/978-3-031-77792-9_11"},"date_updated":"2024-11-22T12:58:59Z","publisher":"Springer Nature Switzerland","date_created":"2024-11-22T12:56:54Z","author":[{"first_name":"Daniel","full_name":"Vollmers, Daniel","last_name":"Vollmers"},{"orcid":"0009-0004-5164-4911","last_name":"Srivastava","id":"70066","full_name":"Srivastava, Nikit","first_name":"Nikit"},{"orcid":"0000-0003-0215-1278","last_name":"Zahera","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","first_name":"Hamada Mohamed Abdelsamee"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"title":"UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs","doi":"https://doi.org/10.1007/978-3-031-77792-9_11"},{"date_updated":"2025-07-23T11:23:32Z","author":[{"full_name":"Fichtel, Leandra","last_name":"Fichtel","first_name":"Leandra"},{"first_name":"Maximilian","last_name":"Spliethöver","full_name":"Spliethöver, Maximilian"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"},{"full_name":"Jimenez, Patricia","id":"103339","last_name":"Jimenez","first_name":"Patricia"},{"first_name":"Nils","full_name":"Klowait, Nils","id":"98454","orcid":"0000-0002-7347-099X","last_name":"Klowait"},{"full_name":"Kopp, Stefan","last_name":"Kopp","first_name":"Stefan"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"first_name":"Amelie","full_name":"Robrecht, Amelie","last_name":"Robrecht"},{"first_name":"Ingrid","orcid":"0000-0003-2364-9489","last_name":"Scharlau","full_name":"Scharlau, Ingrid","id":"451"},{"last_name":"Terfloth","id":"37320","full_name":"Terfloth, Lutz","first_name":"Lutz"},{"full_name":"Vollmer, Anna-Lisa","last_name":"Vollmer","first_name":"Anna-Lisa"},{"first_name":"Henning","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth"}],"date_created":"2025-07-22T13:10:42Z","title":"Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues","main_file_link":[{"url":"https://arxiv.org/pdf/2504.18483"}],"has_accepted_license":"1","year":"2025","page":"20","citation":{"apa":"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. (2025). Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. In arXiv:2504.18483.","short":"L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, ArXiv:2504.18483 (2025).","mla":"Fichtel, Leandra, et al. “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues.” ArXiv:2504.18483, 2025.","bibtex":"@article{Fichtel_Spliethöver_Hüllermeier_Jimenez_Klowait_Kopp_Ngonga Ngomo_Robrecht_Scharlau_Terfloth_et al._2025, title={Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues}, journal={arXiv:2504.18483}, author={Fichtel, Leandra and Spliethöver, Maximilian and Hüllermeier, Eyke and Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and et al.}, year={2025} }","ama":"Fichtel L, Spliethöver M, Hüllermeier E, et al. Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. arXiv:250418483. Published online 2025.","chicago":"Fichtel, Leandra, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez, Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, et al. “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues.” ArXiv:2504.18483, 2025.","ieee":"L. Fichtel et al., “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues,” arXiv:2504.18483. 2025."},"external_id":{"arxiv":["2504.18483"]},"_id":"60718","project":[{"grant_number":"438445824","_id":"121","name":"TRR 318 - B01: TRR 318 - Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens (Teilprojekt B01)"},{"_id":"127","name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens"},{"_id":"122","name":"TRR 318 - B3: TRR 318 - Subproject B3"},{"name":"TRR 318 - Ö: TRR 318 - Project Area Ö","_id":"119"},{"grant_number":"438445824","_id":"114","name":"TRR 318 - A04: TRR 318 - Integration des technischen Modells in das Partnermodell bei der Erklärung von digitalen Artefakten (Teilprojekt A04)"}],"user_id":"98454","language":[{"iso":"eng"}],"publication":"arXiv:2504.18483","type":"preprint","abstract":[{"text":"The ability to generate explanations that are understood by explainees is the\r\nquintessence of explainable artificial intelligence. Since understanding\r\ndepends on the explainee's background and needs, recent research focused on\r\nco-constructive explanation dialogues, where an explainer continuously monitors\r\nthe explainee's understanding and adapts their explanations dynamically. We\r\ninvestigate the ability of large language models (LLMs) to engage as explainers\r\nin co-constructive explanation dialogues. In particular, we present a user\r\nstudy in which explainees interact with an LLM in two settings, one of which\r\ninvolves the LLM being instructed to explain a topic co-constructively. We\r\nevaluate the explainees' understanding before and after the dialogue, as well\r\nas their perception of the LLMs' co-constructive behavior. Our results suggest\r\nthat LLMs show some co-constructive behaviors, such as asking verification\r\nquestions, that foster the explainees' engagement and can improve understanding\r\nof a topic. However, their ability to effectively monitor the current\r\nunderstanding and scaffold the explanations accordingly remains limited.","lang":"eng"}],"status":"public"},{"publication":"ACM Computing Surveys","abstract":[{"text":"Knowledge graphs are used by a growing number of applications to represent structured data. Hence, evaluating the veracity of assertions in knowledge graphs—dubbed fact checking—is currently a challenge of growing importance. However, manual fact checking is commonly impractical due to the sheer size of knowledge graphs. This paper is a systematic survey of recent works on automatic fact checking with a focus on knowledge graphs. We present recent fact-checking approaches, the varied sources they use as background knowledge, and the features they rely upon. Finally, we draw conclusions pertaining to possible future research directions in fact checking knowledge graphs.","lang":"eng"}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"61195","file_name":"3749838.pdf","file_size":1062387,"date_created":"2025-09-11T09:26:29Z","creator":"uqudus","date_updated":"2025-09-11T09:26:29Z"}],"external_id":{"unknown":["10.1145/3749838"]},"ddc":["006"],"keyword":["fact checking","knowledge graphs","fact-checkers","check worthiness","evidence retrieval","trust","veracity."],"language":[{"iso":"eng"}],"quality_controlled":"1","year":"2025","publisher":"Association for Computing Machinery (ACM)","date_created":"2025-09-03T15:46:43Z","title":"Fact Checking Knowledge Graphs -- A Survey","popular_science":"1","type":"journal_article","status":"public","_id":"61123","user_id":"83392","department":[{"_id":"574"}],"article_type":"original","article_number":"3749838","file_date_updated":"2025-09-11T09:26:29Z","publication_status":"published","has_accepted_license":"1","publication_identifier":{"issn":["0360-0300","1557-7341"]},"citation":{"ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “Fact Checking Knowledge Graphs -- A Survey,” ACM Computing Surveys, vol. 58, Art. no. 3749838, 2025, doi: 10.1145/3749838.","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Fact Checking Knowledge Graphs -- A Survey.” ACM Computing Surveys 58 (2025). https://doi.org/10.1145/3749838.","ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. Fact Checking Knowledge Graphs -- A Survey. ACM Computing Surveys. 2025;58. doi:10.1145/3749838","mla":"Qudus, Umair, et al. “Fact Checking Knowledge Graphs -- A Survey.” ACM Computing Surveys, vol. 58, 3749838, Association for Computing Machinery (ACM), 2025, doi:10.1145/3749838.","short":"U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, ACM Computing Surveys 58 (2025).","bibtex":"@article{Qudus_Röder_Saleem_Ngonga Ngomo_2025, title={Fact Checking Knowledge Graphs -- A Survey}, volume={58}, DOI={10.1145/3749838}, number={3749838}, journal={ACM Computing Surveys}, publisher={Association for Computing Machinery (ACM)}, author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","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"},"intvolume":" 58","oa":"1","date_updated":"2025-09-11T09:30:28Z","author":[{"first_name":"Umair","id":"83392","full_name":"Qudus, Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus"},{"first_name":"Michael","full_name":"Röder, Michael","id":"67199","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"},{"full_name":"Saleem, Muhammad","last_name":"Saleem","first_name":"Muhammad"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"volume":58,"main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/3749838","open_access":"1"}],"doi":"10.1145/3749838"},{"publication_identifier":{"isbn":["978-3-031-94575-5"]},"publication_status":"published","page":"133--151","citation":{"mla":"Firmansyah, Asep Fajar, et al. “ANTS: Abstractive Entity Summarization in Knowledge Graphs.” ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151, doi:10.1007/978-3-031-94575-5_8.","short":"A.F. Firmansyah, H.M.A. Zahera, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, in: ESWC2025, pringer Nature Switzerland, 2025, pp. 133--151.","bibtex":"@inproceedings{Firmansyah_Zahera_Sherif_Moussallem_Ngonga Ngomo_2025, series={The Semantic Web}, title={ANTS: Abstractive Entity Summarization in Knowledge Graphs}, DOI={10.1007/978-3-031-94575-5_8}, booktitle={ESWC2025}, publisher={pringer Nature Switzerland}, author={Firmansyah, Asep Fajar and Zahera, Hamada Mohamed Abdelsamee and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={133--151}, collection={The Semantic Web} }","apa":"Firmansyah, A. F., Zahera, H. M. A., Sherif, M., Moussallem, D., & Ngonga Ngomo, A.-C. (2025). ANTS: Abstractive Entity Summarization in Knowledge Graphs. ESWC2025, 133--151. https://doi.org/10.1007/978-3-031-94575-5_8","ama":"Firmansyah AF, Zahera HMA, Sherif M, Moussallem D, Ngonga Ngomo A-C. ANTS: Abstractive Entity Summarization in Knowledge Graphs. In: ESWC2025. The Semantic Web. pringer Nature Switzerland; 2025:133--151. doi:10.1007/978-3-031-94575-5_8","ieee":"A. F. Firmansyah, H. M. A. Zahera, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “ANTS: Abstractive Entity Summarization in Knowledge Graphs,” in ESWC2025, 2025, pp. 133--151, doi: 10.1007/978-3-031-94575-5_8.","chicago":"Firmansyah, Asep Fajar, Hamada Mohamed Abdelsamee Zahera, Mohamed Sherif, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “ANTS: Abstractive Entity Summarization in Knowledge Graphs.” In ESWC2025, 133--151. The Semantic Web. pringer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_8."},"year":"2025","author":[{"last_name":"Firmansyah","full_name":"Firmansyah, Asep Fajar","id":"76787","first_name":"Asep Fajar"},{"first_name":"Hamada Mohamed Abdelsamee","id":"72768","full_name":"Zahera, Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278"},{"first_name":"Mohamed","full_name":"Sherif, Mohamed","id":"67234","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif"},{"last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635","first_name":"Diego"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2025-03-17T13:41:48Z","publisher":"pringer Nature Switzerland","date_updated":"2025-09-11T10:00:44Z","conference":{"name":"ESWC 2025"},"doi":"10.1007/978-3-031-94575-5_8","title":"ANTS: Abstractive Entity Summarization in Knowledge Graphs","publication":"ESWC2025","type":"conference","status":"public","department":[{"_id":"574"}],"user_id":"67234","series_title":"The Semantic Web","_id":"59054","language":[{"iso":"eng"}],"keyword":["firmansyah mousallem ngonga sherif zahera"]},{"_id":"61202","user_id":"67234","department":[{"_id":"574"}],"keyword":["becker sherif enexa sailproject dice simba ngonga whale"],"language":[{"iso":"eng"}],"type":"conference","publication":"The Semantic Web – ISWC 2025","abstract":[{"text":"The number of datasets on the web of data increases continuously. However, the knowledge contained therein cannot be fully utilized without finding links between the entities contained in these datasets. Equivalent entities can not be identified solely by checking the equivalence of IRIs because of the different origins and naming schemes of different data providers. Yet, such equivalences can be discovered by computing the similarity of their attributes. In this paper we propose GLIDE, an approach that links entities from two different datasets by embedding a joint model of these datasets enriched by additional relations describing the similarity of literals. The joint model is embedded into a latent vector space while paying attention to juxtaposing similar literals. We evaluate our approach against state-of-the-art algorithms using real-world datasets commonly used in link discovery literature. The results show that GLIDE outperforms all baselines on 5 of 7 datasets with perfect or near-perfect accuracy. Our approach achieves its best performance on datasets that feature several literals with similarities. Our experiments indicate that researchers should not only pay attention to equal literals in knowledge graph embedding but should also be aware of the distance between similar literals.","lang":"eng"}],"status":"public","date_updated":"2025-09-11T10:34:52Z","date_created":"2025-09-11T10:04:16Z","author":[{"first_name":"Alexander","last_name":"Becker","full_name":"Becker, Alexander"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"last_name":"Sherif","full_name":"Sherif, Mohamed ","first_name":"Mohamed "}],"title":"GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings","conference":{"name":"ISWC 2025"},"place":"Nara, Japan","year":"2025","citation":{"ama":"Becker A, Ngonga Ngomo A-C, Sherif M. GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings. In: The Semantic Web – ISWC 2025. ; 2025.","ieee":"A. Becker, A.-C. Ngonga Ngomo, and M. Sherif, “GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings,” presented at the ISWC 2025, 2025.","chicago":"Becker, Alexander, Axel-Cyrille Ngonga Ngomo, and Mohamed Sherif. “GLIDE: Knowledge Graph Linking Using Distance-Aware Embeddings.” In The Semantic Web – ISWC 2025. Nara, Japan, 2025.","apa":"Becker, A., Ngonga Ngomo, A.-C., & Sherif, M. (2025). GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings. The Semantic Web – ISWC 2025. ISWC 2025.","bibtex":"@inproceedings{Becker_Ngonga Ngomo_Sherif_2025, place={Nara, Japan}, title={GLIDE: Knowledge Graph Linking using Distance-Aware Embeddings}, booktitle={The Semantic Web – ISWC 2025}, author={Becker, Alexander and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed }, year={2025} }","mla":"Becker, Alexander, et al. “GLIDE: Knowledge Graph Linking Using Distance-Aware Embeddings.” The Semantic Web – ISWC 2025, 2025.","short":"A. Becker, A.-C. Ngonga Ngomo, M. Sherif, in: The Semantic Web – ISWC 2025, Nara, Japan, 2025."}},{"status":"public","publication":"IEEE Access","type":"journal_article","language":[{"iso":"eng"}],"_id":"61134","department":[{"_id":"574"}],"user_id":"77309","year":"2025","page":"1-1","citation":{"apa":"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","bibtex":"@article{Manzoor_Speck_Zahera_Saleem_Moussallem_Ngonga Ngomo_2025, title={Multilingual Relation Extraction - A Survey}, DOI={10.1109/access.2025.3604258}, journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Manzoor, Ali and Speck, René and Zahera, Hamada Mohamed Abdelsamee and Saleem, Muhammad and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={1–1} }","short":"A. Manzoor, R. Speck, H.M.A. Zahera, M. Saleem, D. Moussallem, A.-C. Ngonga Ngomo, IEEE Access (2025) 1–1.","mla":"Manzoor, Ali, et al. “Multilingual Relation Extraction - A Survey.” IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 1–1, doi:10.1109/access.2025.3604258.","ama":"Manzoor A, Speck R, Zahera HMA, Saleem M, Moussallem D, Ngonga Ngomo A-C. Multilingual Relation Extraction - A Survey. IEEE Access. Published online 2025:1-1. doi:10.1109/access.2025.3604258","ieee":"A. Manzoor, R. Speck, H. M. A. Zahera, M. Saleem, D. Moussallem, and A.-C. Ngonga Ngomo, “Multilingual Relation Extraction - A Survey,” IEEE Access, pp. 1–1, 2025, doi: 10.1109/access.2025.3604258.","chicago":"Manzoor, Ali, René Speck, Hamada Mohamed Abdelsamee Zahera, Muhammad Saleem, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Relation Extraction - A Survey.” IEEE Access, 2025, 1–1. https://doi.org/10.1109/access.2025.3604258."},"publication_identifier":{"issn":["2169-3536"]},"publication_status":"published","title":"Multilingual Relation Extraction - A Survey","doi":"10.1109/access.2025.3604258","date_updated":"2025-09-11T11:14:27Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","author":[{"first_name":"Ali","full_name":"Manzoor, Ali","id":"77309","orcid":"https://orcid.org/0000-0001-8403-5160","last_name":"Manzoor"},{"first_name":"René","last_name":"Speck","id":"70843","full_name":"Speck, René"},{"first_name":"Hamada Mohamed Abdelsamee","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768","orcid":"0000-0003-0215-1278","last_name":"Zahera"},{"last_name":"Saleem","full_name":"Saleem, Muhammad","first_name":"Muhammad"},{"full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem","first_name":"Diego"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_created":"2025-09-04T13:32:08Z"},{"language":[{"iso":"eng"}],"external_id":{"arxiv":["2504.18483"]},"abstract":[{"lang":"eng","text":"The ability to generate explanations that are understood by explainees is the\r\nquintessence of explainable artificial intelligence. Since understanding\r\ndepends on the explainee's background and needs, recent research focused on\r\nco-constructive explanation dialogues, where an explainer continuously monitors\r\nthe explainee's understanding and adapts their explanations dynamically. We\r\ninvestigate the ability of large language models (LLMs) to engage as explainers\r\nin co-constructive explanation dialogues. In particular, we present a user\r\nstudy in which explainees interact with an LLM in two settings, one of which\r\ninvolves the LLM being instructed to explain a topic co-constructively. We\r\nevaluate the explainees' understanding before and after the dialogue, as well\r\nas their perception of the LLMs' co-constructive behavior. Our results suggest\r\nthat LLMs show some co-constructive behaviors, such as asking verification\r\nquestions, that foster the explainees' engagement and can improve understanding\r\nof a topic. However, their ability to effectively monitor the current\r\nunderstanding and scaffold the explanations accordingly remains limited."}],"publication":"Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue","title":"Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues","publisher":"Association for Computational Linguistics","date_created":"2025-09-11T16:11:17Z","year":"2025","project":[{"_id":"118","name":"TRR 318: Project Area INF"},{"_id":"121","name":"TRR 318; TP B01: Ein dialogbasierter Ansatz zur Erklärung von Modellen des maschinellen Lernens"},{"_id":"127","name":"TRR 318; TP C04: Metaphern als Werkzeug des Erklärens"},{"_id":"122","name":"TRR 318 - Subproject B3"},{"_id":"119","name":"TRR 318 - Project Area Ö"},{"_id":"114","name":"TRR 318; TP A04: Integration des technischen Modells in das Partnermodell bei der Erklärung von digitalen Artefakten"}],"_id":"61234","user_id":"84035","department":[{"_id":"660"}],"status":"public","type":"conference","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2504.18483"}],"conference":{"name":"Annual Meeting of the Special Interest Group on Discourse and Dialogue"},"oa":"1","date_updated":"2025-09-12T09:50:48Z","author":[{"full_name":"Fichtel, Leandra","last_name":"Fichtel","first_name":"Leandra"},{"first_name":"Maximilian","full_name":"Spliethöver, Maximilian","id":"84035","orcid":"0000-0003-4364-1409","last_name":"Spliethöver"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"},{"last_name":"Jimenez","full_name":"Jimenez, Patricia","id":"103339","first_name":"Patricia"},{"first_name":"Nils","orcid":"0000-0002-7347-099X","last_name":"Klowait","full_name":"Klowait, Nils","id":"98454"},{"last_name":"Kopp","full_name":"Kopp, Stefan","first_name":"Stefan"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"},{"orcid":"0000-0001-5622-8248","last_name":"Robrecht","id":"91982","full_name":"Robrecht, Amelie","first_name":"Amelie"},{"orcid":"0000-0003-2364-9489","last_name":"Scharlau","full_name":"Scharlau, Ingrid","id":"451","first_name":"Ingrid"},{"id":"37320","full_name":"Terfloth, Lutz","last_name":"Terfloth","first_name":"Lutz"},{"last_name":"Vollmer","id":"86589","full_name":"Vollmer, Anna-Lisa","first_name":"Anna-Lisa"},{"full_name":"Wachsmuth, Henning","id":"3900","last_name":"Wachsmuth","first_name":"Henning"}],"place":"Avignon, France","citation":{"chicago":"Fichtel, Leandra, Maximilian Spliethöver, Eyke Hüllermeier, Patricia Jimenez, Nils Klowait, Stefan Kopp, Axel-Cyrille Ngonga Ngomo, et al. “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues.” In Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Avignon, France: Association for Computational Linguistics, n.d.","ieee":"L. Fichtel et al., “Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues,” presented at the Annual Meeting of the Special Interest Group on Discourse and Dialogue.","ama":"Fichtel L, Spliethöver M, Hüllermeier E, et al. Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues. In: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics.","apa":"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.","mla":"Fichtel, Leandra, et al. “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, Association for Computational Linguistics.","short":"L. Fichtel, M. Spliethöver, E. Hüllermeier, P. Jimenez, N. Klowait, S. Kopp, A.-C. Ngonga Ngomo, A. Robrecht, I. Scharlau, L. Terfloth, A.-L. Vollmer, H. Wachsmuth, in: Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Association for Computational Linguistics, Avignon, France, n.d.","bibtex":"@inproceedings{Fichtel_Spliethöver_Hüllermeier_Jimenez_Klowait_Kopp_Ngonga Ngomo_Robrecht_Scharlau_Terfloth_et al., place={Avignon, France}, title={Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues}, booktitle={Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue}, publisher={Association for Computational Linguistics}, author={Fichtel, Leandra and Spliethöver, Maximilian and Hüllermeier, Eyke and Jimenez, Patricia and Klowait, Nils and Kopp, Stefan and Ngonga Ngomo, Axel-Cyrille and Robrecht, Amelie and Scharlau, Ingrid and Terfloth, Lutz and et al.} }"},"publication_status":"accepted","related_material":{"link":[{"relation":"software","url":"https://github.com/webis-de/sigdial25-co-constructive-llms"},{"url":"https://github.com/webis-de/sigdial25-co-constructive-llms-data","relation":"research_data"}]}},{"title":"Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection?","doi":"10.1080/0144929x.2025.2568928","date_updated":"2025-10-14T06:12:07Z","publisher":"Informa UK Limited","date_created":"2025-10-13T13:33:14Z","author":[{"first_name":"Jörg","last_name":"Papenkordt","full_name":"Papenkordt, Jörg","id":"44648"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"},{"first_name":"Kirsten","full_name":"Thommes, Kirsten","id":"72497","last_name":"Thommes"}],"year":"2025","page":"1-22","citation":{"apa":"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","mla":"Papenkordt, Jörg, et al. “Are Numerical or Verbal Explanations of AI the Key to Appropriate User Reliance and Error Detection?” Behaviour & Information Technology, Informa UK Limited, 2025, pp. 1–22, doi:10.1080/0144929x.2025.2568928.","short":"J. Papenkordt, A.-C. Ngonga Ngomo, K. Thommes, Behaviour & Information Technology (2025) 1–22.","bibtex":"@article{Papenkordt_Ngonga Ngomo_Thommes_2025, title={Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection?}, DOI={10.1080/0144929x.2025.2568928}, journal={Behaviour & Information Technology}, publisher={Informa UK Limited}, author={Papenkordt, Jörg and Ngonga Ngomo, Axel-Cyrille and Thommes, Kirsten}, year={2025}, pages={1–22} }","ieee":"J. Papenkordt, A.-C. Ngonga Ngomo, and K. Thommes, “Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection?,” Behaviour & Information Technology, pp. 1–22, 2025, doi: 10.1080/0144929x.2025.2568928.","chicago":"Papenkordt, Jörg, Axel-Cyrille Ngonga Ngomo, and Kirsten Thommes. “Are Numerical or Verbal Explanations of AI the Key to Appropriate User Reliance and Error Detection?” Behaviour & Information Technology, 2025, 1–22. https://doi.org/10.1080/0144929x.2025.2568928.","ama":"Papenkordt J, Ngonga Ngomo A-C, Thommes K. Are numerical or verbal explanations of AI the key to appropriate user reliance and error detection? Behaviour & Information Technology. Published online 2025:1-22. doi:10.1080/0144929x.2025.2568928"},"publication_identifier":{"issn":["0144-929X","1362-3001"]},"publication_status":"published","language":[{"iso":"eng"}],"_id":"61819","project":[{"name":"TRR 318 - Subproject A3","_id":"113"},{"name":"arbeitswelt + - KI für die Arbeitswelt des industriellen Mittelstands","_id":"810"}],"department":[{"_id":"178"},{"_id":"184"}],"user_id":"72497","status":"public","publication":"Behaviour & Information Technology","type":"journal_article"},{"year":"2025","citation":{"ama":"Ihtassine R, Firmansyah AF, Srivastava N, Ali M, Ngonga Ngomo A-C, Sherif M. NL2LS: LLM-based Automatic Linking of Knowledge Graphs. In: 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. ACM; 2025.","chicago":"Ihtassine, Reda, Asep Fajar Firmansyah, Nikit Srivastava, Manzoor Ali, Axel-Cyrille Ngonga Ngomo, and Mohamed Sherif. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” In 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. ACM, 2025.","ieee":"R. Ihtassine, A. F. Firmansyah, N. Srivastava, M. Ali, A.-C. Ngonga Ngomo, and M. Sherif, “NL2LS: LLM-based Automatic Linking of Knowledge Graphs,” 2025.","apa":"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.","short":"R. Ihtassine, A.F. Firmansyah, N. Srivastava, M. Ali, A.-C. Ngonga Ngomo, M. Sherif, in: 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, ACM, 2025.","mla":"Ihtassine, Reda, et al. “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, ACM, 2025.","bibtex":"@inproceedings{Ihtassine_Firmansyah_Srivastava_Ali_Ngonga Ngomo_Sherif_2025, title={NL2LS: LLM-based Automatic Linking of Knowledge Graphs}, booktitle={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}, publisher={ACM}, author={Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Ali, Manzoor and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed}, year={2025} }"},"title":"NL2LS: LLM-based Automatic Linking of Knowledge Graphs","publisher":"ACM","date_updated":"2025-11-06T15:19:28Z","date_created":"2025-11-06T15:13:39Z","author":[{"id":"103911","full_name":"Ihtassine, Reda","last_name":"Ihtassine","first_name":"Reda"},{"first_name":"Asep Fajar","id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah"},{"last_name":"Srivastava","orcid":"0009-0004-5164-4911","full_name":"Srivastava, Nikit","id":"70066","first_name":"Nikit"},{"first_name":"Manzoor","full_name":"Ali, Manzoor","last_name":"Ali"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"id":"67234","full_name":"Sherif, Mohamed","last_name":"Sherif","orcid":"https://orcid.org/0000-0002-9927-2203","first_name":"Mohamed"}],"status":"public","publication":"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","type":"conference","keyword":["Srivastava ali dice enexa firmansyah ihtassine ngonga sailproject sherif whale"],"language":[{"iso":"eng"}],"_id":"62119","department":[{"_id":"574"}],"user_id":"76787"},{"citation":{"ama":"Moteu Ngoli T, Kouagou NJ, Zahera HMA, Ngonga Ngomo A-C. Benchmarking Knowledge Editing using Logical Rules. In: Proceedings of the 24th International Semantic Web Conference (ISWC 2025). Springer, Cham; 2025:pp 41-56. doi:https://doi.org/10.1007/978-3-032-09530-5_3","chicago":"Moteu Ngoli, Tatiana, N’Dah Jean Kouagou, Hamada Mohamed Abdelsamee Zahera, and Axel-Cyrille Ngonga Ngomo. “Benchmarking Knowledge Editing Using Logical Rules.” In Proceedings of the 24th International Semantic Web Conference (ISWC 2025), pp 41-56. Springer, Cham, 2025. https://doi.org/10.1007/978-3-032-09530-5_3.","ieee":"T. Moteu Ngoli, N. J. Kouagou, H. M. A. Zahera, and A.-C. Ngonga Ngomo, “Benchmarking Knowledge Editing using Logical Rules,” in Proceedings of the 24th International Semantic Web Conference (ISWC 2025), Nara, Japan, 2025, p. pp 41-56, doi: https://doi.org/10.1007/978-3-032-09530-5_3.","apa":"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","mla":"Moteu Ngoli, Tatiana, et al. “Benchmarking Knowledge Editing Using Logical Rules.” Proceedings of the 24th International Semantic Web Conference (ISWC 2025), Springer, Cham, 2025, p. pp 41-56, doi:https://doi.org/10.1007/978-3-032-09530-5_3.","short":"T. Moteu Ngoli, N.J. Kouagou, H.M.A. Zahera, A.-C. Ngonga Ngomo, in: Proceedings of the 24th International Semantic Web Conference (ISWC 2025), Springer, Cham, 2025, p. pp 41-56.","bibtex":"@inproceedings{Moteu Ngoli_Kouagou_Zahera_Ngonga Ngomo_2025, title={Benchmarking Knowledge Editing using Logical Rules}, DOI={https://doi.org/10.1007/978-3-032-09530-5_3}, booktitle={Proceedings of the 24th International Semantic Web Conference (ISWC 2025)}, publisher={Springer, Cham}, author={Moteu Ngoli, Tatiana and Kouagou, N’Dah Jean and Zahera, Hamada Mohamed Abdelsamee and Ngonga Ngomo, Axel-Cyrille}, year={2025}, pages={pp 41-56} }"},"page":"pp 41-56","publication_status":"published","publication_identifier":{"isbn":["978-3-032-09530-5"]},"conference":{"start_date":"2025.11.2","name":"The 24th International Semantic Web Conference (ISWC 2025)","location":"Nara, Japan","end_date":"2025.11.6"},"doi":"https://doi.org/10.1007/978-3-032-09530-5_3","author":[{"first_name":"Tatiana","last_name":"Moteu Ngoli","id":"99174","full_name":"Moteu Ngoli, Tatiana"},{"id":"87189","full_name":"Kouagou, N'Dah Jean","last_name":"Kouagou","first_name":"N'Dah Jean"},{"first_name":"Hamada Mohamed Abdelsamee","last_name":"Zahera","orcid":"0000-0003-0215-1278","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_updated":"2025-12-01T10:04:25Z","status":"public","type":"conference","user_id":"99174","department":[{"_id":"574"}],"project":[{"_id":"285","name":"SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen"}],"_id":"61041","year":"2025","title":"Benchmarking Knowledge Editing using Logical Rules","date_created":"2025-08-27T13:17:55Z","publisher":"Springer, Cham","abstract":[{"text":"Large Language Models (LLMs) are increasingly deployed in real-world applications that require access to up-to-date knowledge. However, retraining LLMs is computationally expensive. Therefore, knowledge editing techniques are crucial for maintaining current information and correcting erroneous assertions within pre-trained models. Current benchmarks for knowledge editing primarily focus on recalling edited facts, often neglecting their logical consequences. To address this limitation, we introduce a new benchmark designed to evaluate how knowledge editing methods handle the logical consequences of a single fact edit. Our benchmark extracts relevant logical rules from a knowledge graph for a given edit. Then, it generates multi-hop questions based on these rules to assess the impact on logical consequences. Our findings indicate that while existing knowledge editing approaches can accurately insert direct assertions into LLMs, they frequently fail to inject entailed knowledge. Specifically, experiments with popular methods like ROME and FT reveal a substantial performance gap, up to 24%, between evaluations on directly edited knowledge and on entailed knowledge. This highlights the critical need for semantics-aware evaluation frameworks in knowledge editing.","lang":"eng"}],"publication":"Proceedings of the 24th International Semantic Web Conference (ISWC 2025)","language":[{"iso":"eng"}],"keyword":["dice sailproject moteu kouagou zahera ngonga"]},{"date_created":"2025-10-08T11:02:30Z","author":[{"id":"70066","full_name":"Srivastava, Nikit","orcid":"0009-0004-5164-4911","last_name":"Srivastava","first_name":"Nikit"},{"last_name":"Kuchelev","id":"70842","full_name":"Kuchelev, Denis","first_name":"Denis"},{"last_name":"Moteu Ngoli","full_name":"Moteu Ngoli, Tatiana","id":"99174","first_name":"Tatiana"},{"last_name":"Shetty","full_name":"Shetty, Kshitij","first_name":"Kshitij"},{"last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","full_name":"Röder, Michael","id":"67199","first_name":"Michael"},{"first_name":"Hamada Mohamed Abdelsamee","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768","orcid":"0000-0003-0215-1278","last_name":"Zahera"},{"first_name":"Diego","last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"oa":"1","publisher":"Association for Computational Linguistics","date_updated":"2026-01-06T10:11:37Z","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2025.coling-main.428.pdf"}],"title":"LOLA – An Open-Source Massively Multilingual Large Language Model","citation":{"ama":"Srivastava N, Kuchelev D, Moteu Ngoli T, et al. LOLA – An Open-Source Massively Multilingual Large Language Model. In: Rambow O, Wanner L, Apidianaki M, Al-Khalifa H, Eugenio BD, Schockaert S, eds. Proceedings of the 31st International Conference on Computational Linguistics. Association for Computational Linguistics; 2025:6420–6446.","ieee":"N. Srivastava et al., “LOLA – An Open-Source Massively Multilingual Large Language Model,” in Proceedings of the 31st International Conference on Computational Linguistics, 2025, pp. 6420–6446.","chicago":"Srivastava, Nikit, Denis Kuchelev, Tatiana Moteu Ngoli, Kshitij Shetty, Michael Röder, Hamada Mohamed Abdelsamee Zahera, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “LOLA – An Open-Source Massively Multilingual Large Language Model.” In Proceedings of the 31st International Conference on Computational Linguistics, edited by Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, and Steven Schockaert, 6420–6446. Abu Dhabi, UAE: Association for Computational Linguistics, 2025.","apa":"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.","mla":"Srivastava, Nikit, et al. “LOLA – An Open-Source Massively Multilingual Large Language Model.” Proceedings of the 31st International Conference on Computational Linguistics, edited by Owen Rambow et al., Association for Computational Linguistics, 2025, pp. 6420–6446.","bibtex":"@inproceedings{Srivastava_Kuchelev_Moteu Ngoli_Shetty_Röder_Zahera_Moussallem_Ngonga Ngomo_2025, place={Abu Dhabi, UAE}, title={LOLA – An Open-Source Massively Multilingual Large Language Model}, booktitle={Proceedings of the 31st International Conference on Computational Linguistics}, publisher={Association for Computational Linguistics}, author={Srivastava, Nikit and Kuchelev, Denis and Moteu Ngoli, Tatiana and Shetty, Kshitij and Röder, Michael and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, editor={Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert, Steven}, year={2025}, pages={6420–6446} }","short":"N. Srivastava, D. Kuchelev, T. Moteu Ngoli, K. Shetty, M. Röder, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga Ngomo, 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, Association for Computational Linguistics, Abu Dhabi, UAE, 2025, pp. 6420–6446."},"page":"6420–6446","place":"Abu Dhabi, UAE","year":"2025","user_id":"70066","_id":"61753","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 31st International Conference on Computational Linguistics","status":"public","editor":[{"last_name":"Rambow","full_name":"Rambow, Owen","first_name":"Owen"},{"first_name":"Leo","full_name":"Wanner, Leo","last_name":"Wanner"},{"first_name":"Marianna","last_name":"Apidianaki","full_name":"Apidianaki, Marianna"},{"last_name":"Al-Khalifa","full_name":"Al-Khalifa, Hend","first_name":"Hend"},{"last_name":"Eugenio","full_name":"Eugenio, Barbara Di","first_name":"Barbara Di"},{"full_name":"Schockaert, Steven","last_name":"Schockaert","first_name":"Steven"}],"abstract":[{"lang":"eng","text":"This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing linguistic diversity while maintaining efficiency and avoiding the common pitfalls of multilinguality. Our analysis of the evaluation results shows competitive performance in natural language generation and understanding tasks. Additionally, we demonstrate how the learned expert-routing mechanism exploits implicit phylogenetic linguistic patterns to potentially alleviate the curse of multilinguality. We provide an in-depth look at the training process, an analysis of the datasets, and a balanced exploration of the model{’}s strengths and limitations. As an open-source model, LOLA promotes reproducibility and serves as a robust foundation for future research. Our findings enable the development of compute-efficient multilingual models with strong, scalable performance across languages."}]},{"doi":"10.1007/978-3-031-94575-5_4","title":"Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings","author":[{"first_name":"Gaurav","last_name":"Pandit","full_name":"Pandit, Gaurav"},{"first_name":"Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","id":"67199","full_name":"Röder, Michael"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2026-01-06T09:53:58Z","date_updated":"2026-01-06T09:55:26Z","publisher":"Springer Nature Switzerland","citation":{"ieee":"G. Pandit, M. Röder, and A.-C. Ngonga Ngomo, “Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings,” in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2025.","chicago":"Pandit, Gaurav, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_4.","ama":"Pandit G, Röder M, Ngonga Ngomo A-C. Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In: Lecture Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-94575-5_4","apa":"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","short":"G. Pandit, M. Röder, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","bibtex":"@inbook{Pandit_Röder_Ngonga Ngomo_2025, place={Cham}, title={Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings}, DOI={10.1007/978-3-031-94575-5_4}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Pandit, Gaurav and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","mla":"Pandit, Gaurav, et al. “Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.” Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-94575-5_4."},"place":"Cham","year":"2025","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031945748","9783031945755"]},"publication_status":"published","language":[{"iso":"eng"}],"department":[{"_id":"574"},{"_id":"923"}],"user_id":"67199","_id":"63507","status":"public","publication":"Lecture Notes in Computer Science","type":"book_chapter"}]