[{"abstract":[{"lang":"eng","text":"<jats:p>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.</jats:p>"}],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2025-09-11T09:26:29Z","creator":"uqudus","date_created":"2025-09-11T09:26:29Z","file_size":1062387,"access_level":"closed","file_name":"3749838.pdf","file_id":"61195"}],"publication":"ACM Computing Surveys","keyword":["fact checking","knowledge graphs","fact-checkers","check worthiness","evidence retrieval","trust","veracity."],"ddc":["006"],"language":[{"iso":"eng"}],"external_id":{"unknown":["10.1145/3749838"]},"year":"2025","quality_controlled":"1","title":"Fact Checking Knowledge Graphs -- A Survey","publisher":"Association for Computing Machinery (ACM)","date_created":"2025-09-03T15:46:43Z","status":"public","popular_science":"1","type":"journal_article","article_type":"original","article_number":"3749838","file_date_updated":"2025-09-11T09:26:29Z","_id":"61123","department":[{"_id":"574"}],"user_id":"83392","intvolume":"        58","citation":{"ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. Fact Checking Knowledge Graphs -- A Survey. <i>ACM Computing Surveys</i>. 2025;58. doi:<a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>","ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “Fact Checking Knowledge Graphs -- A Survey,” <i>ACM Computing Surveys</i>, vol. 58, Art. no. 3749838, 2025, doi: <a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>.","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “Fact Checking Knowledge Graphs -- A Survey.” <i>ACM Computing Surveys</i> 58 (2025). <a href=\"https://doi.org/10.1145/3749838\">https://doi.org/10.1145/3749838</a>.","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={<a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>}, 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} }","mla":"Qudus, Umair, et al. “Fact Checking Knowledge Graphs -- A Survey.” <i>ACM Computing Surveys</i>, vol. 58, 3749838, Association for Computing Machinery (ACM), 2025, doi:<a href=\"https://doi.org/10.1145/3749838\">10.1145/3749838</a>.","apa":"Qudus, U., Röder, M., Saleem, M., &#38; Ngonga Ngomo, A.-C. (2025). Fact Checking Knowledge Graphs -- A Survey. <i>ACM Computing Surveys</i>, <i>58</i>, Article 3749838. <a href=\"https://doi.org/10.1145/3749838\">https://doi.org/10.1145/3749838</a>"},"has_accepted_license":"1","publication_identifier":{"issn":["0360-0300","1557-7341"]},"publication_status":"published","doi":"10.1145/3749838","main_file_link":[{"url":"https://dl.acm.org/doi/pdf/10.1145/3749838","open_access":"1"}],"oa":"1","date_updated":"2025-09-11T09:30:28Z","volume":58,"author":[{"first_name":"Umair","id":"83392","full_name":"Qudus, Umair","last_name":"Qudus","orcid":"0000-0001-6714-8729"},{"orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","id":"67199","full_name":"Röder, Michael","first_name":"Michael"},{"first_name":"Muhammad","full_name":"Saleem, Muhammad","last_name":"Saleem"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}]},{"page":"6420–6446","citation":{"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 <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, 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.","ieee":"N. Srivastava <i>et al.</i>, “LOLA – An Open-Source Massively Multilingual Large Language Model,” in <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, 2025, pp. 6420–6446.","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. <i>Proceedings of the 31st International Conference on Computational Linguistics</i>. Association for Computational Linguistics; 2025:6420–6446.","apa":"Srivastava, N., Kuchelev, D., Moteu Ngoli, T., Shetty, K., Röder, M., Zahera, H. M. A., Moussallem, D., &#38; 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, &#38; S. Schockaert (Eds.), <i>Proceedings of the 31st International Conference on Computational Linguistics</i> (pp. 6420–6446). Association for Computational Linguistics.","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.","mla":"Srivastava, Nikit, et al. “LOLA – An Open-Source Massively Multilingual Large Language Model.” <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, edited by Owen Rambow et al., Association for Computational Linguistics, 2025, pp. 6420–6446."},"place":"Abu Dhabi, UAE","year":"2025","main_file_link":[{"url":"https://aclanthology.org/2025.coling-main.428.pdf","open_access":"1"}],"title":"LOLA – An Open-Source Massively Multilingual Large Language Model","date_created":"2025-10-08T11:02:30Z","author":[{"orcid":"0009-0004-5164-4911","last_name":"Srivastava","full_name":"Srivastava, Nikit","id":"70066","first_name":"Nikit"},{"first_name":"Denis","id":"70842","full_name":"Kuchelev, Denis","last_name":"Kuchelev"},{"last_name":"Moteu Ngoli","full_name":"Moteu Ngoli, Tatiana","id":"99174","first_name":"Tatiana"},{"first_name":"Kshitij","full_name":"Shetty, Kshitij","last_name":"Shetty"},{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"},{"full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768","last_name":"Zahera","orcid":"0000-0003-0215-1278","first_name":"Hamada Mohamed Abdelsamee"},{"full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem","first_name":"Diego"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"oa":"1","publisher":"Association for Computational Linguistics","date_updated":"2026-01-06T10:11:37Z","status":"public","abstract":[{"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.","lang":"eng"}],"editor":[{"first_name":"Owen","last_name":"Rambow","full_name":"Rambow, Owen"},{"first_name":"Leo","full_name":"Wanner, Leo","last_name":"Wanner"},{"first_name":"Marianna","full_name":"Apidianaki, Marianna","last_name":"Apidianaki"},{"first_name":"Hend","last_name":"Al-Khalifa","full_name":"Al-Khalifa, Hend"},{"full_name":"Eugenio, Barbara Di","last_name":"Eugenio","first_name":"Barbara Di"},{"last_name":"Schockaert","full_name":"Schockaert, Steven","first_name":"Steven"}],"publication":"Proceedings of the 31st International Conference on Computational Linguistics","type":"conference","language":[{"iso":"eng"}],"user_id":"70066","_id":"61753"},{"status":"public","publication":"Lecture Notes in Computer Science","type":"book_chapter","language":[{"iso":"eng"}],"_id":"63507","department":[{"_id":"574"},{"_id":"923"}],"user_id":"67199","place":"Cham","year":"2025","citation":{"ama":"Pandit G, Röder M, Ngonga Ngomo A-C. Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_4\">10.1007/978-3-031-94575-5_4</a>","chicago":"Pandit, Gaurav, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_4\">https://doi.org/10.1007/978-3-031-94575-5_4</a>.","ieee":"G. Pandit, M. Röder, and A.-C. Ngonga Ngomo, “Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer Nature Switzerland, 2025.","mla":"Pandit, Gaurav, et al. “Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_4\">10.1007/978-3-031-94575-5_4</a>.","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={<a href=\"https://doi.org/10.1007/978-3-031-94575-5_4\">10.1007/978-3-031-94575-5_4</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Pandit, Gaurav and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","apa":"Pandit, G., Röder, M., &#38; Ngonga Ngomo, A.-C. (2025). Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_4\">https://doi.org/10.1007/978-3-031-94575-5_4</a>"},"publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783031945748","9783031945755"]},"publication_status":"published","title":"Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings","doi":"10.1007/978-3-031-94575-5_4","date_updated":"2026-01-06T09:55:26Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Gaurav","full_name":"Pandit, Gaurav","last_name":"Pandit"},{"first_name":"Michael","full_name":"Röder, Michael","id":"67199","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_created":"2026-01-06T09:53:58Z"},{"user_id":"67199","department":[{"_id":"574"},{"_id":"923"}],"_id":"63572","language":[{"iso":"eng"}],"type":"conference","publication":"Lecture Notes in Computer Science","status":"public","date_created":"2026-01-12T17:13:22Z","author":[{"first_name":"Caglar","id":"43817","full_name":"Demir, Caglar","last_name":"Demir"},{"first_name":"Moshood Olawale","full_name":"Yekini, Moshood Olawale","id":"114533","last_name":"Yekini"},{"first_name":"Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","id":"67199","full_name":"Röder, Michael"},{"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"}],"publisher":"Springer Nature Switzerland","date_updated":"2026-01-12T17:17:07Z","doi":"10.1007/978-3-032-06066-2_29","conference":{"name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases","start_date":"2025-09-15","end_date":"2025-09-19","location":"Porto"},"title":"Tree-Based OWL Class Expression Learner over Large Graphs","publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783032060655","9783032060662"]},"citation":{"chicago":"Demir, Caglar, Moshood Olawale Yekini, Michael Röder, Yasir Mahmood, and Axel-Cyrille Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large Graphs.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-032-06066-2_29\">https://doi.org/10.1007/978-3-032-06066-2_29</a>.","ieee":"C. Demir, M. O. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based OWL Class Expression Learner over Large Graphs,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, 2025, doi: <a href=\"https://doi.org/10.1007/978-3-032-06066-2_29\">10.1007/978-3-032-06066-2_29</a>.","ama":"Demir C, Yekini MO, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class Expression Learner over Large Graphs. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-032-06066-2_29\">10.1007/978-3-032-06066-2_29</a>","short":"C. Demir, M.O. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","bibtex":"@inproceedings{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham}, title={Tree-Based OWL Class Expression Learner over Large Graphs}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-06066-2_29\">10.1007/978-3-032-06066-2_29</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Demir, Caglar and Yekini, Moshood Olawale and Röder, Michael and Mahmood, Yasir and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","mla":"Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-032-06066-2_29\">10.1007/978-3-032-06066-2_29</a>.","apa":"Demir, C., Yekini, M. O., Röder, M., Mahmood, Y., &#38; Ngonga Ngomo, A.-C. (2025). Tree-Based OWL Class Expression Learner over Large Graphs. <i>Lecture Notes in Computer Science</i>. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto. <a href=\"https://doi.org/10.1007/978-3-032-06066-2_29\">https://doi.org/10.1007/978-3-032-06066-2_29</a>"},"place":"Cham","year":"2025"},{"publisher":"Springer Nature Switzerland","date_updated":"2026-01-12T17:24:49Z","date_created":"2026-01-12T17:24:11Z","author":[{"last_name":"Kapoor","full_name":"Kapoor, Sourabh","first_name":"Sourabh"},{"first_name":"Arnab","id":"67200","full_name":"Sharma, Arnab","last_name":"Sharma"},{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"},{"first_name":"Caglar","full_name":"Demir, Caglar","id":"43817","last_name":"Demir"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"title":"Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks","doi":"10.1007/978-3-031-94575-5_15","publication_status":"published","publication_identifier":{"isbn":["9783031945748","9783031945755"],"issn":["0302-9743","1611-3349"]},"place":"Cham","year":"2025","citation":{"apa":"Kapoor, S., Sharma, A., Röder, M., Demir, C., &#38; Ngonga Ngomo, A.-C. (2025). Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks. <i>Lecture Notes in Computer Science</i>. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_15\">https://doi.org/10.1007/978-3-031-94575-5_15</a>","short":"S. Kapoor, A. Sharma, M. Röder, C. Demir, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","bibtex":"@inproceedings{Kapoor_Sharma_Röder_Demir_Ngonga Ngomo_2025, place={Cham}, title={Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-94575-5_15\">10.1007/978-3-031-94575-5_15</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Kapoor, Sourabh and Sharma, Arnab and Röder, Michael and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","mla":"Kapoor, Sourabh, et al. “Robustness Evaluation of Knowledge Graph Embedding Models Under Non-Targeted Attacks.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_15\">10.1007/978-3-031-94575-5_15</a>.","ieee":"S. Kapoor, A. Sharma, M. Röder, C. Demir, and A.-C. Ngonga Ngomo, “Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks,” 2025, doi: <a href=\"https://doi.org/10.1007/978-3-031-94575-5_15\">10.1007/978-3-031-94575-5_15</a>.","chicago":"Kapoor, Sourabh, Arnab Sharma, Michael Röder, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Robustness Evaluation of Knowledge Graph Embedding Models Under Non-Targeted Attacks.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-94575-5_15\">https://doi.org/10.1007/978-3-031-94575-5_15</a>.","ama":"Kapoor S, Sharma A, Röder M, Demir C, Ngonga Ngomo A-C. Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-031-94575-5_15\">10.1007/978-3-031-94575-5_15</a>"},"_id":"63575","user_id":"67199","department":[{"_id":"574"},{"_id":"923"}],"language":[{"iso":"eng"}],"type":"conference","publication":"Lecture Notes in Computer Science","status":"public"},{"language":[{"iso":"eng"}],"department":[{"_id":"574"},{"_id":"923"}],"user_id":"67199","_id":"63573","status":"public","publication":"Lecture Notes in Computer Science","type":"conference","doi":"10.1007/978-3-032-09527-5_6","title":"Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?","author":[{"last_name":"Memariani","full_name":"Memariani, Adel","first_name":"Adel"},{"last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","id":"67199","full_name":"Röder, Michael","first_name":"Michael"},{"first_name":"Arnab","last_name":"Sharma","full_name":"Sharma, Arnab","id":"67200"},{"last_name":"Demir","id":"43817","full_name":"Demir, Caglar","first_name":"Caglar"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2026-01-12T17:18:35Z","publisher":"Springer Nature Switzerland","date_updated":"2026-01-12T17:24:46Z","citation":{"bibtex":"@inproceedings{Memariani_Röder_Sharma_Demir_Ngonga Ngomo_2025, place={Cham}, title={Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-09527-5_6\">10.1007/978-3-032-09527-5_6</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Memariani, Adel and Röder, Michael and Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","short":"A. Memariani, M. Röder, A. Sharma, C. Demir, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","mla":"Memariani, Adel, et al. “Link Prediction Under Non-Targeted Attacks: Do Soft Labels Always Help?” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-032-09527-5_6\">10.1007/978-3-032-09527-5_6</a>.","apa":"Memariani, A., Röder, M., Sharma, A., Demir, C., &#38; Ngonga Ngomo, A.-C. (2025). Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help? <i>Lecture Notes in Computer Science</i>. <a href=\"https://doi.org/10.1007/978-3-032-09527-5_6\">https://doi.org/10.1007/978-3-032-09527-5_6</a>","ama":"Memariani A, Röder M, Sharma A, Demir C, Ngonga Ngomo A-C. Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help? In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-032-09527-5_6\">10.1007/978-3-032-09527-5_6</a>","chicago":"Memariani, Adel, Michael Röder, Arnab Sharma, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Link Prediction Under Non-Targeted Attacks: Do Soft Labels Always Help?” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-032-09527-5_6\">https://doi.org/10.1007/978-3-032-09527-5_6</a>.","ieee":"A. Memariani, M. Röder, A. Sharma, C. Demir, and A.-C. Ngonga Ngomo, “Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?,” 2025, doi: <a href=\"https://doi.org/10.1007/978-3-032-09527-5_6\">10.1007/978-3-032-09527-5_6</a>."},"place":"Cham","year":"2025","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783032095268","9783032095275"]},"publication_status":"published"},{"_id":"63574","department":[{"_id":"574"},{"_id":"923"}],"user_id":"67199","language":[{"iso":"eng"}],"publication":"Proceedings of the Knowledge Capture Conference 2025","type":"conference","status":"public","date_updated":"2026-01-12T17:25:00Z","publisher":"ACM","author":[{"first_name":"Quannian","orcid":"0009-0008-9497-3204","last_name":"Zhang","full_name":"Zhang, Quannian","id":"104099"},{"id":"67199","full_name":"Röder, Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","first_name":"Michael"},{"full_name":"Srivastava, Nikit","id":"70066","last_name":"Srivastava","orcid":"0009-0004-5164-4911","first_name":"Nikit"},{"id":"87189","full_name":"KOUAGOU, N'Dah Jean","last_name":"KOUAGOU","first_name":"N'Dah Jean"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_created":"2026-01-12T17:21:05Z","title":"Explainable Benchmarking through the Lense of Concept Learning","doi":"10.1145/3731443.3771359","publication_status":"published","year":"2025","citation":{"mla":"Zhang, Quannian, et al. “Explainable Benchmarking through the Lense of Concept Learning.” <i>Proceedings of the Knowledge Capture Conference 2025</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>.","short":"Q. Zhang, M. Röder, N. Srivastava, N.J. KOUAGOU, A.-C. Ngonga Ngomo, in: Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.","bibtex":"@inproceedings{Zhang_Röder_Srivastava_KOUAGOU_Ngonga Ngomo_2025, title={Explainable Benchmarking through the Lense of Concept Learning}, DOI={<a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>}, booktitle={Proceedings of the Knowledge Capture Conference 2025}, publisher={ACM}, author={Zhang, Quannian and Röder, Michael and Srivastava, Nikit and KOUAGOU, N’Dah Jean and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","apa":"Zhang, Q., Röder, M., Srivastava, N., KOUAGOU, N. J., &#38; Ngonga Ngomo, A.-C. (2025). Explainable Benchmarking through the Lense of Concept Learning. <i>Proceedings of the Knowledge Capture Conference 2025</i>. <a href=\"https://doi.org/10.1145/3731443.3771359\">https://doi.org/10.1145/3731443.3771359</a>","chicago":"Zhang, Quannian, Michael Röder, Nikit Srivastava, N’Dah Jean KOUAGOU, and Axel-Cyrille Ngonga Ngomo. “Explainable Benchmarking through the Lense of Concept Learning.” In <i>Proceedings of the Knowledge Capture Conference 2025</i>. ACM, 2025. <a href=\"https://doi.org/10.1145/3731443.3771359\">https://doi.org/10.1145/3731443.3771359</a>.","ieee":"Q. Zhang, M. Röder, N. Srivastava, N. J. KOUAGOU, and A.-C. Ngonga Ngomo, “Explainable Benchmarking through the Lense of Concept Learning,” 2025, doi: <a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>.","ama":"Zhang Q, Röder M, Srivastava N, KOUAGOU NJ, Ngonga Ngomo A-C. Explainable Benchmarking through the Lense of Concept Learning. In: <i>Proceedings of the Knowledge Capture Conference 2025</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>"}},{"has_accepted_license":"1","publication_identifier":{"isbn":["79-8-4007-0436-9/24/10"]},"publication_status":"published","page":"3994 - 3999","intvolume":"         9","citation":{"ieee":"U. Qudus, M. Röder, D. Vollmers, and A.-C. Ngonga Ngomo, “ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification,” in <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, Boise, ID, USA, 2024, vol. 9, pp. 3994–3999, doi: <a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>.","chicago":"Qudus, Umair, Michael Röder, Daniel Vollmers, and Axel-Cyrille Ngonga Ngomo. “ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification.” In <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, 9:3994–99. ACM, 2024. <a href=\"https://doi.org/10.1145/3627673.3679923\">https://doi.org/10.1145/3627673.3679923</a>.","ama":"Qudus U, Röder M, Vollmers D, Ngonga Ngomo A-C. ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. In: <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>. Vol 9. ACM; 2024:3994-3999. doi:<a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>","apa":"Qudus, U., Röder, M., Vollmers, D., &#38; Ngonga Ngomo, A.-C. (2024). ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, <i>9</i>, 3994–3999. <a href=\"https://doi.org/10.1145/3627673.3679923\">https://doi.org/10.1145/3627673.3679923</a>","short":"U. Qudus, M. Röder, D. Vollmers, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, 2024, pp. 3994–3999.","mla":"Qudus, Umair, et al. “ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification.” <i>Proceedings of the 33rd ACM International Conference on Information and Knowledge Management</i>, vol. 9, ACM, 2024, pp. 3994–99, doi:<a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>.","bibtex":"@inproceedings{Qudus_Röder_Vollmers_Ngonga Ngomo_2024, title={ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification}, volume={9}, DOI={<a href=\"https://doi.org/10.1145/3627673.3679923\">10.1145/3627673.3679923</a>}, booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management}, publisher={ACM}, author={Qudus, Umair and Röder, Michael and Vollmers, Daniel and Ngonga Ngomo, Axel-Cyrille}, year={2024}, pages={3994–3999} }"},"date_updated":"2025-09-11T09:49:07Z","volume":9,"author":[{"first_name":"Umair","id":"83392","full_name":"Qudus, Umair","last_name":"Qudus","orcid":"0000-0001-6714-8729"},{"full_name":"Röder, Michael","id":"67199","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","first_name":"Michael"},{"first_name":"Daniel","last_name":"Vollmers","full_name":"Vollmers, Daniel"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"doi":"10.1145/3627673.3679923","conference":{"location":"Boise, ID, USA","end_date":"2024-10-25","start_date":"2024-10-21","name":"CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"},"main_file_link":[{"url":"https://dl.acm.org/doi/10.1145/3627673.3679923"}],"popular_science":"1","type":"conference","status":"public","_id":"56983","project":[{"_id":"412","name":"NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen"}],"user_id":"83392","file_date_updated":"2024-11-11T13:24:19Z","quality_controlled":"1","year":"2024","publisher":"ACM","date_created":"2024-11-11T13:15:25Z","title":"ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification","publication":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","abstract":[{"text":"Detecting the veracity of a statement automatically is a challenge the world is grappling with due to the vast amount of data spread across the web. Verifying a given claim typically entails validating it within the framework of supporting evidence like a retrieved piece of text. Classifying the stance of the text with respect to the claim is called stance classification. Despite advancements in automated fact-checking, most systems still rely on a substantial quantity of labeled training data, which can be costly. In this work, we avoid the costly training or fine-tuning of models by reusing pre-trained large language models together with few-shot in-context learning. Since we do not train any model, our approach ExPrompt is lightweight, demands fewer resources than other stance classification methods and can serve as a modern baseline for future developments. At the same time, our evaluation shows that our approach is able to outperform former state-of-the-art stance classification approaches regarding accuracy by at least 2 percent. Our scripts and data used in this paper are available at https://github.com/dice-group/ExPrompt.","lang":"eng"}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_name":"public.pdf","file_id":"56984","access_level":"closed","file_size":531579,"creator":"uqudus","date_created":"2024-11-11T13:24:19Z","date_updated":"2024-11-11T13:24:19Z"}],"keyword":["Stance Classification","Few-shot in-context learning","Pre-trained large language models"],"ddc":["006"],"language":[{"iso":"eng"}]},{"type":"conference","popular_science":"1","status":"public","editor":[{"first_name":"Marco","last_name":"Rospocher","full_name":"Rospocher, Marco"}],"department":[{"_id":"34"}],"user_id":"83392","_id":"57240","project":[{"name":"NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen","_id":"412"},{"_id":"285","name":"SAIL: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen"},{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"}],"file_date_updated":"2024-11-19T14:14:14Z","has_accepted_license":"1","citation":{"short":"U. Qudus, M. Röder, F.L. Tatkeu Pekarou, A.A. Morim da Silva, A.-C. Ngonga Ngomo, in: M. Rospocher, Mehwish Alam (Eds.), EKAW 2024, 2024.","bibtex":"@inproceedings{Qudus_Röder_Tatkeu Pekarou_Morim da Silva_Ngonga Ngomo_2024, title={FaVEL: Fact Validation Ensemble Learning}, booktitle={EKAW 2024}, author={Qudus, Umair and Röder, Michael and Tatkeu Pekarou, Franck Lionel and Morim da Silva, Ana Alexandra and Ngonga Ngomo, Axel-Cyrille}, editor={Rospocher, Marco and Mehwish Alam}, year={2024} }","mla":"Qudus, Umair, et al. “FaVEL: Fact Validation Ensemble Learning.” <i>EKAW 2024</i>, edited by Marco Rospocher and Mehwish Alam, 2024.","apa":"Qudus, U., Röder, M., Tatkeu Pekarou, F. L., Morim da Silva, A. A., &#38; Ngonga Ngomo, A.-C. (2024). FaVEL: Fact Validation Ensemble Learning. In M. Rospocher &#38; Mehwish Alam (Eds.), <i>EKAW 2024</i>.","ama":"Qudus U, Röder M, Tatkeu Pekarou FL, Morim da Silva AA, Ngonga Ngomo A-C. FaVEL: Fact Validation Ensemble Learning. In: Rospocher M, Mehwish Alam, eds. <i>EKAW 2024</i>. ; 2024.","chicago":"Qudus, Umair, Michael Röder, Franck Lionel Tatkeu Pekarou, Ana Alexandra Morim da Silva, and Axel-Cyrille Ngonga Ngomo. “FaVEL: Fact Validation Ensemble Learning.” In <i>EKAW 2024</i>, edited by Marco Rospocher and Mehwish Alam, 2024.","ieee":"U. Qudus, M. Röder, F. L. Tatkeu Pekarou, A. A. Morim da Silva, and A.-C. Ngonga Ngomo, “FaVEL: Fact Validation Ensemble Learning,” in <i>EKAW 2024</i>, Amsterdam, Netherlands, 2024."},"author":[{"first_name":"Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus","full_name":"Qudus, Umair","id":"83392"},{"orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","id":"67199","full_name":"Röder, Michael","first_name":"Michael"},{"first_name":"Franck Lionel","last_name":"Tatkeu Pekarou","full_name":"Tatkeu Pekarou, Franck Lionel"},{"first_name":"Ana Alexandra","last_name":"Morim da Silva","id":"72108","full_name":"Morim da Silva, Ana Alexandra"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"date_updated":"2025-09-11T09:48:12Z","conference":{"location":"Amsterdam, Netherlands","end_date":"2024-11-28","start_date":"2024-11-26","name":"24th International Conference on Knowledge Engineering and Knowledge Management"},"publication":"EKAW 2024","file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2024-11-19T14:14:14Z","creator":"uqudus","date_created":"2024-11-19T14:14:14Z","file_size":190661,"access_level":"closed","file_name":"favel.pdf","file_id":"57241"}],"abstract":[{"lang":"eng","text":"Validating assertions before adding them to a knowledge graph is an essential part of its creation and maintenance. Due to the sheer size of knowledge graphs, automatic fact-checking approaches have been developed. These approaches rely on reference knowledge to decide whether a given assertion is correct. Recent hybrid approaches achieve good results by including several knowledge sources. However, it is often impractical to provide a sheer quantity of textual knowledge or generate embedding models to leverage these hybrid approaches. We present FaVEL, an approach that uses algorithm selection and ensemble learning to amalgamate several existing fact-checking approaches that rely solely on a reference knowledge graph and, hence, use fewer resources than current hybrid approaches. For our evaluation, we create updated versions of two existing datasets and a new dataset dubbed FaVEL-DS. Our evaluation compares our approach to 15 fact-checking approaches—including the state-of-the-art approach HybridFC—on 3 datasets. Our results demonstrate that FaVEL outperforms all other approaches significantly by at least 0.04 in terms of the area under the ROC curve. Our source code, datasets, and evaluation results are open-source and can be found at https://github.com/dice-group/favel."}],"language":[{"iso":"eng"}],"keyword":["fact checking","ensemble learning","transfer learning","knowledge management."],"ddc":["600"],"quality_controlled":"1","corporate_editor":["Mehwish Alam"],"year":"2024","date_created":"2024-11-19T14:12:49Z","title":"FaVEL: Fact Validation Ensemble Learning"},{"date_updated":"2025-12-02T19:29:53Z","publisher":"Association for Computational Linguistics","date_created":"2024-11-20T10:41:16Z","author":[{"first_name":"Ana Alexandra","last_name":"Morim da Silva","id":"72108","full_name":"Morim da Silva, Ana Alexandra"},{"first_name":"Nikit","full_name":"Srivastava, Nikit","id":"70066","last_name":"Srivastava","orcid":"0009-0004-5164-4911"},{"last_name":"Moteu Ngoli","id":"99174","full_name":"Moteu Ngoli, Tatiana","first_name":"Tatiana"},{"first_name":"Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","full_name":"Röder, Michael","id":"67199"},{"last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635","first_name":"Diego"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"title":"Benchmarking Low-Resource Machine Translation Systems","doi":"10.18653/v1/2024.loresmt-1.18","publication_status":"published","year":"2024","citation":{"ama":"Morim da Silva AA, Srivastava N, Moteu Ngoli T, Röder M, Moussallem D, Ngonga Ngomo A-C. Benchmarking Low-Resource Machine Translation Systems. In: <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. Association for Computational Linguistics; 2024. doi:<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>","ieee":"A. A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem, and A.-C. Ngonga Ngomo, “Benchmarking Low-Resource Machine Translation Systems,” 2024, doi: <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>.","chicago":"Morim da Silva, Ana Alexandra, Nikit Srivastava, Tatiana Moteu Ngoli, Michael Röder, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Benchmarking Low-Resource Machine Translation Systems.” In <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. Association for Computational Linguistics, 2024. <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">https://doi.org/10.18653/v1/2024.loresmt-1.18</a>.","apa":"Morim da Silva, A. A., Srivastava, N., Moteu Ngoli, T., Röder, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2024). Benchmarking Low-Resource Machine Translation Systems. <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>. <a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">https://doi.org/10.18653/v1/2024.loresmt-1.18</a>","bibtex":"@inproceedings{Morim da Silva_Srivastava_Moteu Ngoli_Röder_Moussallem_Ngonga Ngomo_2024, title={Benchmarking Low-Resource Machine Translation Systems}, DOI={<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>}, booktitle={Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)}, publisher={Association for Computational Linguistics}, author={Morim da Silva, Ana Alexandra and Srivastava, Nikit and Moteu Ngoli, Tatiana and Röder, Michael and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024} }","mla":"Morim da Silva, Ana Alexandra, et al. “Benchmarking Low-Resource Machine Translation Systems.” <i>Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)</i>, Association for Computational Linguistics, 2024, doi:<a href=\"https://doi.org/10.18653/v1/2024.loresmt-1.18\">10.18653/v1/2024.loresmt-1.18</a>.","short":"A.A. Morim da Silva, N. Srivastava, T. Moteu Ngoli, M. Röder, D. Moussallem, A.-C. Ngonga Ngomo, in: Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024), Association for Computational Linguistics, 2024."},"_id":"57278","user_id":"70066","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)","status":"public"},{"date_updated":"2024-06-04T09:59:50Z","publisher":"Springer Nature Switzerland","author":[{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277"},{"first_name":"Denis","last_name":"Kuchelev","id":"70842","full_name":"Kuchelev, Denis"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2024-01-23T11:39:58Z","title":"A Topic Model for the Data Web","doi":"10.1007/978-3-031-47745-4_14","publication_identifier":{"isbn":["978-3-031-47745-4"]},"place":"Cham","year":"2023","citation":{"ama":"Röder M, Kuchelev D, Ngonga Ngomo A-C. A Topic Model for the Data Web. In: Ortiz-Rodriguez F, Villazón-Terrazas B, Tiwari S, Bobed C, eds. <i>Knowledge Graphs and Semantic Web</i>. Springer Nature Switzerland; 2023:183–198. doi:<a href=\"https://doi.org/10.1007/978-3-031-47745-4_14\">10.1007/978-3-031-47745-4_14</a>","chicago":"Röder, Michael, Denis Kuchelev, and Axel-Cyrille Ngonga Ngomo. “A Topic Model for the Data Web.” In <i>Knowledge Graphs and Semantic Web</i>, edited by Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, and Carlos Bobed, 183–198. Cham: Springer Nature Switzerland, 2023. <a href=\"https://doi.org/10.1007/978-3-031-47745-4_14\">https://doi.org/10.1007/978-3-031-47745-4_14</a>.","ieee":"M. Röder, D. Kuchelev, and A.-C. Ngonga Ngomo, “A Topic Model for the Data Web,” in <i>Knowledge Graphs and Semantic Web</i>, 2023, pp. 183–198, doi: <a href=\"https://doi.org/10.1007/978-3-031-47745-4_14\">10.1007/978-3-031-47745-4_14</a>.","bibtex":"@inproceedings{Röder_Kuchelev_Ngonga Ngomo_2023, place={Cham}, title={A Topic Model for the Data Web}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-47745-4_14\">10.1007/978-3-031-47745-4_14</a>}, booktitle={Knowledge Graphs and Semantic Web}, publisher={Springer Nature Switzerland}, author={Röder, Michael and Kuchelev, Denis and Ngonga Ngomo, Axel-Cyrille}, editor={Ortiz-Rodriguez, Fernando and Villazón-Terrazas, Boris and Tiwari, Sanju and Bobed, Carlos}, year={2023}, pages={183–198} }","short":"M. Röder, D. Kuchelev, A.-C. Ngonga Ngomo, in: F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, C. Bobed (Eds.), Knowledge Graphs and Semantic Web, Springer Nature Switzerland, Cham, 2023, pp. 183–198.","mla":"Röder, Michael, et al. “A Topic Model for the Data Web.” <i>Knowledge Graphs and Semantic Web</i>, edited by Fernando Ortiz-Rodriguez et al., Springer Nature Switzerland, 2023, pp. 183–198, doi:<a href=\"https://doi.org/10.1007/978-3-031-47745-4_14\">10.1007/978-3-031-47745-4_14</a>.","apa":"Röder, M., Kuchelev, D., &#38; Ngonga Ngomo, A.-C. (2023). A Topic Model for the Data Web. In F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, &#38; C. Bobed (Eds.), <i>Knowledge Graphs and Semantic Web</i> (pp. 183–198). Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-47745-4_14\">https://doi.org/10.1007/978-3-031-47745-4_14</a>"},"page":"183–198","_id":"50797","user_id":"67199","department":[{"_id":"574"},{"_id":"923"}],"keyword":["sail dice roeder kuchelev ngonga"],"language":[{"iso":"eng"}],"type":"conference","publication":"Knowledge Graphs and Semantic Web","editor":[{"first_name":"Fernando","last_name":"Ortiz-Rodriguez","full_name":"Ortiz-Rodriguez, Fernando"},{"first_name":"Boris","last_name":"Villazón-Terrazas","full_name":"Villazón-Terrazas, Boris"},{"last_name":"Tiwari","full_name":"Tiwari, Sanju","first_name":"Sanju"},{"first_name":"Carlos","last_name":"Bobed","full_name":"Bobed, Carlos"}],"status":"public"},{"status":"public","type":"dissertation","keyword":["dice roeder"],"language":[{"iso":"eng"}],"_id":"54607","department":[{"_id":"574"},{"_id":"923"}],"user_id":"67199","year":"2023","citation":{"ama":"Röder M. <i>Automating the Discovery of Linking Candidates</i>. Paderborn University; 2023. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1666\">10.17619/UNIPB/1-1666</a>","chicago":"Röder, Michael. <i>Automating the Discovery of Linking Candidates</i>. Paderborn University, 2023. <a href=\"https://doi.org/10.17619/UNIPB/1-1666\">https://doi.org/10.17619/UNIPB/1-1666</a>.","ieee":"M. Röder, <i>Automating the Discovery of Linking Candidates</i>. Paderborn University, 2023.","short":"M. Röder, Automating the Discovery of Linking Candidates, Paderborn University, 2023.","bibtex":"@book{Röder_2023, title={Automating the Discovery of Linking Candidates}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1666\">10.17619/UNIPB/1-1666</a>}, publisher={Paderborn University}, author={Röder, Michael}, year={2023} }","mla":"Röder, Michael. <i>Automating the Discovery of Linking Candidates</i>. Paderborn University, 2023, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1666\">10.17619/UNIPB/1-1666</a>.","apa":"Röder, M. (2023). <i>Automating the Discovery of Linking Candidates</i>. Paderborn University. <a href=\"https://doi.org/10.17619/UNIPB/1-1666\">https://doi.org/10.17619/UNIPB/1-1666</a>"},"publication_status":"published","title":"Automating the Discovery of Linking Candidates","doi":"10.17619/UNIPB/1-1666","date_updated":"2024-06-04T15:28:09Z","publisher":"Paderborn University","author":[{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder"}],"supervisor":[{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"date_created":"2024-06-04T15:26:43Z"},{"page":"465–483","intvolume":"     14265","citation":{"chicago":"Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalónt, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, and Juanzi Li, 14265:465–483. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2023. <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">https://doi.org/10.1007/978-3-031-47240-4_25</a>.","ieee":"U. Qudus, M. Röder, S. Kirrane, and A.-C. Ngonga Ngomo, “TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs,” in <i>The Semantic Web – ISWC 2023</i>, 2023, vol. 14265, pp. 465–483, doi: <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>.","ama":"Qudus U, Röder M, Kirrane S, Ngonga Ngomo A-C. TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds. <i>The Semantic Web – ISWC 2023</i>. Vol 14265. Lecture Notes in Computer Science. Springer International Publishing; 2023:465–483. doi:<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>","apa":"Qudus, U., Röder, M., Kirrane, S., &#38; Ngonga Ngomo, A.-C. (2023). TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalónt, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, &#38; J. Li (Eds.), <i>The Semantic Web – ISWC 2023</i> (Vol. 14265, pp. 465–483). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">https://doi.org/10.1007/978-3-031-47240-4_25</a>","mla":"Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne et al., vol. 14265, Springer International Publishing, 2023, pp. 465–483, doi:<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>.","bibtex":"@inproceedings{Qudus_Röder_Kirrane_Ngonga Ngomo_2023, place={Cham}, series={Lecture Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs}, volume={14265}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>}, booktitle={The Semantic Web – ISWC 2023}, publisher={Springer International Publishing}, author={Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngonga Ngomo, Axel-Cyrille}, editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalónt, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}, year={2023}, pages={465–483}, collection={Lecture Notes in Computer Science} }","short":"U. Qudus, M. Röder, S. Kirrane, A.-C. Ngonga Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalónt, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer International Publishing, Cham, 2023, pp. 465–483."},"place":"Cham","has_accepted_license":"1","doi":"10.1007/978-3-031-47240-4_25","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2023/ISWC_TemporalFC/public.pdf"}],"volume":14265,"author":[{"orcid":"0000-0001-6714-8729","last_name":"Qudus","id":"83392","full_name":"Qudus, Umair","first_name":"Umair"},{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277"},{"first_name":"Sabrina","last_name":"Kirrane","full_name":"Kirrane, Sabrina"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_updated":"2025-09-11T09:34:39Z","oa":"1","status":"public","editor":[{"last_name":"R. Payne","full_name":"R. Payne, Terry","first_name":"Terry"},{"last_name":"Presutti","full_name":"Presutti, Valentina","first_name":"Valentina"},{"full_name":"Qi, Guilin","last_name":"Qi","first_name":"Guilin"},{"full_name":"Poveda-Villalónt, María","last_name":"Poveda-Villalónt","first_name":"María"},{"first_name":"Giorgos","last_name":"Stoilos","full_name":"Stoilos, Giorgos"},{"last_name":"Hollink","full_name":"Hollink, Laura","first_name":"Laura"},{"full_name":"Kaoudi, Zoi","last_name":"Kaoudi","first_name":"Zoi"},{"first_name":"Gong","last_name":"Cheng","full_name":"Cheng, Gong"},{"full_name":"Li, Juanzi","last_name":"Li","first_name":"Juanzi"}],"type":"conference","popular_science":"1","file_date_updated":"2025-09-11T09:33:14Z","user_id":"83392","series_title":"Lecture Notes in Computer Science","_id":"50796","year":"2023","quality_controlled":"1","title":"TemporalFC: A Temporal Fact Checking approach over Knowledge Graphs","date_created":"2024-01-23T11:38:26Z","publisher":"Springer International Publishing","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"61196","file_name":"temporalfcc.pdf","file_size":1938151,"creator":"uqudus","date_created":"2025-09-11T09:33:14Z","date_updated":"2025-09-11T09:33:14Z"}],"abstract":[{"lang":"eng","text":"Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents T EMPORAL FC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate T EMPORAL FC\r\non two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that T EMPORAL FC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the\r\nReceiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC."}],"publication":"The Semantic Web – ISWC 2023","language":[{"iso":"eng"}],"keyword":["knowgraphs enexa sail nebulaproject dice ngonga saleem roeder qudus"],"ddc":["006"]},{"doi":"10.1007/978-3-031-19433-7_27","conference":{"start_date":"2022-10-23","name":"International Semantic Web Conference (ISWC)","location":"Hanghzou, China","end_date":"2022-10-27"},"author":[{"first_name":"Umair","id":"83392","full_name":"Qudus, Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus"},{"orcid":"https://orcid.org/0000-0002-8609-8277","last_name":"Röder","id":"67199","full_name":"Röder, Michael","first_name":"Michael"},{"last_name":"Saleem","full_name":"Saleem, Muhammad","first_name":"Muhammad"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2025-09-11T09:37:16Z","page":"462--480","citation":{"ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs,” in <i>The Semantic Web -- ISWC 2022</i>, Hanghzou, China, pp. 462--480, doi: <a href=\"https://doi.org/10.1007/978-3-031-19433-7_27\">10.1007/978-3-031-19433-7_27</a>.","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” In <i>The Semantic Web -- ISWC 2022</i>, edited by Ulrike Sattler, Aidan Hogan, Maria Keet, and Valentina Presutti, 462--480. Cham: Springer International Publishing, n.d. <a href=\"https://doi.org/10.1007/978-3-031-19433-7_27\">https://doi.org/10.1007/978-3-031-19433-7_27</a>.","ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In: Sattler U, Hogan A, Keet M, Presutti V, eds. <i>The Semantic Web -- ISWC 2022</i>. Springer International Publishing; :462--480. doi:<a href=\"https://doi.org/10.1007/978-3-031-19433-7_27\">10.1007/978-3-031-19433-7_27</a>","apa":"Qudus, U., Röder, M., Saleem, M., &#38; Ngonga Ngomo, A.-C. (n.d.). HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In U. Sattler, A. Hogan, M. Keet, &#38; V. Presutti (Eds.), <i>The Semantic Web -- ISWC 2022</i> (pp. 462--480). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-19433-7_27\">https://doi.org/10.1007/978-3-031-19433-7_27</a>","bibtex":"@inproceedings{Qudus_Röder_Saleem_Ngonga Ngomo, place={Cham}, title={HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-19433-7_27\">10.1007/978-3-031-19433-7_27</a>}, booktitle={The Semantic Web -- ISWC 2022}, publisher={Springer International Publishing}, author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, editor={Sattler, Ulrike and Hogan, Aidan and Keet, Maria and Presutti, Valentina}, pages={462--480} }","mla":"Qudus, Umair, et al. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” <i>The Semantic Web -- ISWC 2022</i>, edited by Ulrike Sattler et al., Springer International Publishing, pp. 462--480, doi:<a href=\"https://doi.org/10.1007/978-3-031-19433-7_27\">10.1007/978-3-031-19433-7_27</a>.","short":"U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, in: U. Sattler, A. Hogan, M. Keet, V. Presutti (Eds.), The Semantic Web -- ISWC 2022, Springer International Publishing, Cham, n.d., pp. 462--480."},"place":"Cham","has_accepted_license":"1","publication_identifier":{"isbn":["978-3-031-19433-7"]},"publication_status":"accepted","file_date_updated":"2022-12-22T15:45:29Z","department":[{"_id":"34"}],"user_id":"83392","_id":"32509","project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"}],"status":"public","editor":[{"last_name":"Sattler","full_name":"Sattler, Ulrike","first_name":"Ulrike"},{"full_name":"Hogan, Aidan","last_name":"Hogan","first_name":"Aidan"},{"last_name":"Keet","full_name":"Keet, Maria","first_name":"Maria"},{"last_name":"Presutti","full_name":"Presutti, Valentina","first_name":"Valentina"}],"popular_science":"1","type":"conference","title":"HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs","date_created":"2022-08-02T11:56:03Z","publisher":"Springer International Publishing","year":"2022","quality_controlled":"1","language":[{"iso":"eng"}],"keyword":["fact checking · ensemble learning · knowledge graph veracit"],"ddc":["000"],"file":[{"date_updated":"2022-12-22T15:45:29Z","creator":"uqudus","date_created":"2022-12-22T15:45:29Z","file_size":296218,"access_level":"closed","file_id":"34853","file_name":"hybrid_fact_check_iswc2022.pdf","content_type":"application/pdf","success":1,"relation":"main_file"}],"abstract":[{"text":" We consider fact-checking approaches that aim to predict the veracity of assertions in knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs have been proposed in the recent literature, of\r\nwhich each is subject to partially overlapping limitations. In particular, current text-based approaches are limited by manual feature engineering. Path-based and rule-based approaches are limited by their exclusive use of knowledge graphs as background knowledge, and embedding-based approaches suffer from low accuracy scores on current fact-checking tasks. We propose a hybrid approach—dubbed HybridFC—that exploits the diversity of existing categories of fact-checking approaches within an ensemble learning setting to achieve a significantly better prediction performance. In particular, our approach outperforms the state of the art by 0.14 to 0.27 in terms of Area Under the Receiver Operating Characteristic curve on the FactBench dataset. Our code is open-source and can be found at https://github.com/dice-group/HybridFC.","lang":"eng"}],"publication":"The Semantic Web -- ISWC 2022"},{"user_id":"70066","_id":"57287","language":[{"iso":"eng"}],"keyword":["dice group_aksw ngonga roeder srivastava syed"],"publication":"Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas)","type":"conference","status":"public","editor":[{"full_name":"Suárez-Figueroa, Mari Carmen","last_name":"Suárez-Figueroa","first_name":"Mari Carmen"},{"first_name":"Gong","last_name":"Cheng","full_name":"Cheng, Gong"},{"first_name":"Anna Lisa","full_name":"Gentile, Anna Lisa","last_name":"Gentile"},{"last_name":"Guéret","full_name":"Guéret, Christophe","first_name":"Christophe"},{"first_name":"Maria","full_name":"Keet, Maria","last_name":"Keet"},{"first_name":"Abraham","full_name":"Bernstein, Abraham","last_name":"Bernstein"}],"volume":2456,"date_created":"2024-11-20T10:45:12Z","author":[{"full_name":"Syed, Zafar Habeeb","last_name":"Syed","first_name":"Zafar Habeeb"},{"id":"70066","full_name":"Srivastava, Nikit","orcid":"0009-0004-5164-4911","last_name":"Srivastava","first_name":"Nikit"},{"id":"67199","full_name":"Röder, Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","first_name":"Michael"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"date_updated":"2024-11-20T10:52:37Z","publisher":"Springer International Publishing","title":"COPAAL – An Interface for Explaining Facts using Corroborative Paths","page":"201–204","intvolume":"      2456","citation":{"ieee":"Z. H. Syed, N. Srivastava, M. Röder, and A.-C. Ngonga Ngomo, “COPAAL – An Interface for Explaining Facts using Corroborative Paths,” in <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>, 2019, vol. 2456, pp. 201–204.","chicago":"Syed, Zafar Habeeb, Nikit Srivastava, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “COPAAL – An Interface for Explaining Facts Using Corroborative Paths.” In <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>, edited by Mari Carmen Suárez-Figueroa, Gong Cheng, Anna Lisa Gentile, Christophe Guéret, Maria Keet, and Abraham Bernstein, 2456:201–204. Springer International Publishing, 2019.","ama":"Syed ZH, Srivastava N, Röder M, Ngonga Ngomo A-C. COPAAL – An Interface for Explaining Facts using Corroborative Paths. In: Suárez-Figueroa MC, Cheng G, Gentile AL, Guéret C, Keet M, Bernstein A, eds. <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>. Vol 2456. Springer International Publishing; 2019:201–204.","apa":"Syed, Z. H., Srivastava, N., Röder, M., &#38; Ngonga Ngomo, A.-C. (2019). COPAAL – An Interface for Explaining Facts using Corroborative Paths. In M. C. Suárez-Figueroa, G. Cheng, A. L. Gentile, C. Guéret, M. Keet, &#38; A. Bernstein (Eds.), <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i> (Vol. 2456, pp. 201–204). Springer International Publishing.","short":"Z.H. Syed, N. Srivastava, M. Röder, A.-C. Ngonga Ngomo, in: M.C. Suárez-Figueroa, G. Cheng, A.L. Gentile, C. Guéret, M. Keet, A. Bernstein (Eds.), Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas), Springer International Publishing, 2019, pp. 201–204.","bibtex":"@inproceedings{Syed_Srivastava_Röder_Ngonga Ngomo_2019, title={COPAAL – An Interface for Explaining Facts using Corroborative Paths}, volume={2456}, booktitle={Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)}, publisher={Springer International Publishing}, author={Syed, Zafar Habeeb and Srivastava, Nikit and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, editor={Suárez-Figueroa, Mari Carmen and Cheng, Gong and Gentile, Anna Lisa and Guéret, Christophe and Keet, Maria and Bernstein, Abraham}, year={2019}, pages={201–204} }","mla":"Syed, Zafar Habeeb, et al. “COPAAL – An Interface for Explaining Facts Using Corroborative Paths.” <i>Proceedings of the ISWC 2019 Satellite Tracks (Posters &#38; Demonstrations, Industry, and Outrageous Ideas)</i>, edited by Mari Carmen Suárez-Figueroa et al., vol. 2456, Springer International Publishing, 2019, pp. 201–204."},"year":"2019"},{"publication":"Rich Search and Discovery for Research Datasets","type":"book_chapter","status":"public","_id":"57286","user_id":"70066","keyword":["dice jalota ngonga roeder speck srivastava vollmers"],"language":[{"iso":"eng"}],"year":"2019","citation":{"ama":"Jalota R, Srivastava N, Vollmers D, et al. Finding Datasets in Publications: The University of Paderborn Approach. In: <i>Rich Search and Discovery for Research Datasets</i>. SAGE Publications; 2019.","ieee":"R. Jalota <i>et al.</i>, “Finding Datasets in Publications: The University of Paderborn Approach,” in <i>Rich Search and Discovery for Research Datasets</i>, SAGE Publications, 2019.","chicago":"Jalota, Rricha, Nikit Srivastava, Daniel Vollmers, René Speck, Michael Röder, Ricardo Usbeck, and Axel-Cyrille Ngonga Ngomo. “Finding Datasets in Publications: The University of Paderborn Approach.” In <i>Rich Search and Discovery for Research Datasets</i>. SAGE Publications, 2019.","apa":"Jalota, R., Srivastava, N., Vollmers, D., Speck, R., Röder, M., Usbeck, R., &#38; Ngonga Ngomo, A.-C. (2019). Finding Datasets in Publications: The University of Paderborn Approach. In <i>Rich Search and Discovery for Research Datasets</i>. 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