| LLMs4OL: Large language models for ontology learning H Babaei Giglou, J D’Souza, S Auer International Semantic Web Conference, 408-427, 2023 | 287 | 2023 |
| Improving access to scientific literature with knowledge graphs S Auer, A Oelen, M Haris, M Stocker, J D’Souza, KE Farfar, L Vogt, ... Bibliothek Forschung und Praxis 44 (3), 516-529, 2020 | 170 | 2020 |
| The sciqa scientific question answering benchmark for scholarly knowledge S Auer, DAC Barone, C Bartz, EG Cortes, MY Jaradeh, O Karras, ... Scientific Reports 13 (1), 7240, 2023 | 115 | 2023 |
| LLMs4OM: Matching Ontologies with Large Language Models H Babaei Giglou, J D’Souza, F Engel, S Auer European Semantic Web Conference, 25-35, 2024 | 79 | 2024 |
| QALD-10–The 10th challenge on question answering over linked data: Shifting from DBpedia to Wikidata as a KG for KGQA R Usbeck, X Yan, A Perevalov, L Jiang, J Schulz, A Kraft, C Möller, ... Semantic Web 15 (6), 2193-2207, 2024 | 65 | 2024 |
| Somesci-A 5 star open data gold standard knowledge graph of software mentions in scientific articles D Schindler, F Bensmann, S Dietze, F Krüger Proceedings of the 30th ACM International Conference on Information …, 2021 | 64 | 2021 |
| The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central D Schindler, F Bensmann, S Dietze, F Krüger PeerJ Computer Science 8, e835, 2022 | 56 | 2022 |
| FAIR scientific information with the open research knowledge graph M Stocker, A Oelen, MY Jaradeh, M Haris, OA Oghli, G Heidari, H Hussein, ... FAIR Connect 1 (1), 19-21, 2023 | 53 | 2023 |
| Leveraging llms in scholarly knowledge graph question answering TA Taffa, R Usbeck arXiv preprint arXiv:2311.09841, 2023 | 45 | 2023 |
| Investigating software usage in the social sciences: A knowledge graph approach D Schindler, B Zapilko, F Krüger European Semantic Web Conference, 271-286, 2020 | 41 | 2020 |
| Dblp-quad: A question answering dataset over the dblp scholarly knowledge graph D Banerjee, S Awale, R Usbeck, C Biemann arXiv preprint arXiv:2303.13351, 2023 | 40 | 2023 |
| Working Towards Understanding the Role of FAIR for Machine Learning. DS Katz, FE Psomopoulos, LJ Castro DaMaLOS, 1-6, 2021 | 33 | 2021 |
| Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI A Kraft, E Soulier Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024 | 32 | 2024 |
| Computer science named entity recognition in the open research knowledge graph J D’Souza, S Auer International Conference on Asian Digital Libraries, 35-45, 2022 | 32 | 2022 |
| European Language Grid: A Language Technology Platform for Multilingual Europe G Rehm Springer Nature, 2023 | 31 | 2023 |
| ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph S Kabongo, J D’Souza, S Auer International Journal on Digital Libraries 25 (1), 41-54, 2024 | 29 | 2024 |
| Llms4ol 2024 overview: The 1st large language models for ontology learning challenge HB Giglou, J D'Souza, S Auer arXiv preprint arXiv:2409.10146, 2024 | 28 | 2024 |
| GSAP-NER: a novel task, corpus, and baseline for scholarly entity extraction focused on machine learning models and datasets W Otto, M Zloch, L Gan, S Karmakar, S Dietze arXiv preprint arXiv:2311.09860, 2023 | 27 | 2023 |
| SciTweets-A Dataset and Annotation Framework for Detecting Scientific Online Discourse S Hafid, S Schellhammer, S Bringay, K Todorov, S Dietze Proceedings of the 31st ACM International Conference on Information …, 2022 | 26 | 2022 |
| Divide and conquer the EmpiRE: a community-maintainable knowledge graph of empirical research in requirements engineering O Karras, F Wernlein, J Klünder, S Auer 2023 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2023 | 24 | 2023 |
