{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T22:22:12Z","timestamp":1776637332393,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Leibniz Association- Leibniz Best Minds: Programme for Women Professors","award":["P99\/2020"],"award-info":[{"award-number":["P99\/2020"]}]},{"name":"Lower Saxony Ministry of Research and Culture and the Volkswagen Foundation","award":["ZN3438"],"award-info":[{"award-number":["ZN3438"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"DOI":"10.1145\/3587259.3627558","type":"proceedings-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T19:30:28Z","timestamp":1701199828000},"page":"241-249","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5712-1565","authenticated-orcid":false,"given":"Shahi","family":"Dost","sequence":"first","affiliation":[{"name":"Scientific Data Management, TIB Leibniz Information Centre for Science and Technology, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4916-5220","authenticated-orcid":false,"given":"Ariam","family":"Rivas","sequence":"additional","affiliation":[{"name":"Leibniz University of Hannover, Germany and L3S Research Centre, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9264-787X","authenticated-orcid":false,"given":"Hanan","family":"Begali","sequence":"additional","affiliation":[{"name":"Centre for Individualised Infection Medicine (CIIM), Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2033-5049","authenticated-orcid":false,"given":"Annett","family":"Ziegler","sequence":"additional","affiliation":[{"name":"TWINCORE, Centre for Experimental and Clinical Infection Research, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7271-3838","authenticated-orcid":false,"given":"Elimira","family":"Aliabadi","sequence":"additional","affiliation":[{"name":"Centre for Individualised Infection Medicine (CIIM), Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9141-8001","authenticated-orcid":false,"given":"Markus","family":"Cornberg","sequence":"additional","affiliation":[{"name":"Centre for Individualised Infection Medicine (CIIM), Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9666-0753","authenticated-orcid":false,"given":"Anke Rm","family":"Kraft","sequence":"additional","affiliation":[{"name":"Centre for Individualised Infection Medicine (CIIM), Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1160-8727","authenticated-orcid":false,"given":"Maria-Esther","family":"Vidal","sequence":"additional","affiliation":[{"name":"Data Science Institute, TIB Leibniz Information Centre for Science and Technology, Germany and Leibniz University of Hannover, Germany"}]}],"member":"320","published-online":{"date-parts":[[2023,12,5]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-30440-2"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"Farahnaz Akrami Lingbing Guo Wei Hu and Chengkai Li. 2018. Re-evaluating Embedding-Based Knowledge Graph Completion Methods. In CIKM. https:\/\/doi.org\/10.1145\/3269206.3269266","DOI":"10.1145\/3269206.3269266"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3124805"},{"key":"e_1_3_2_1_4_1","article-title":"PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings","volume":"22","author":"Ali Mehdi","year":"2021","unstructured":"Mehdi Ali, Max Berrendorf, Charles\u00a0Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, and Jens Lehmann. 2021. PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. Journal of Machine Learning Research 22, 82 (2021).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.341"},{"key":"e_1_3_2_1_6_1","volume-title":"ACM-SIAM Symposium on Discrete Algorithms.","author":"Arthur David","year":"2007","unstructured":"David Arthur and Sergei Vassilvitskii. 2007. K-means++: The Advantages of Careful Seeding. In ACM-SIAM Symposium on Discrete Algorithms."},{"key":"e_1_3_2_1_7_1","volume-title":"Advances in Neural Information Processing Systems, Vol.\u00a026. Curran Associates","author":"Bordes Antoine","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems, Vol.\u00a026. Curran Associates, Inc."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","unstructured":"Aydin Bulu\u00e7 Henning Meyerhenke Ilya Safro Peter Sanders and Christian Schulz. 2016. Recent Advances in Graph Partitioning. In Algorithm Engineering - Selected Results and Surveys. https:\/\/doi.org\/10.1007\/978-3-319-49487-6_4","DOI":"10.1007\/978-3-319-49487-6_4"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2019.11.003"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623623"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31955-9_8"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph20032380"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Enrique Iglesias Samaneh Jozashoori David Chaves-Fraga Diego Collarana and Maria-Esther Vidal. 2020. SDM-RDFizer: An RML interpreter for the efficient creation of RDF knowledge graphs. In CIKM.","DOI":"10.1145\/3340531.3412881"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827595287997"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms22115497"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772755"},{"key":"e_1_3_2_1_17_1","volume-title":"Biological applications of knowledge graph embedding models. Briefings in bioinformatics 22, 2","author":"Mohamed K","year":"2021","unstructured":"Sameh\u00a0K Mohamed, Aayah Nounu, and V\u00edt Nov\u00e1\u010dek. 2021. Biological applications of knowledge graph embedding models. Briefings in bioinformatics 22, 2 (2021), 1679\u20131693."},{"key":"e_1_3_2_1_18_1","volume-title":"International Conference on Machine Learning.","author":"Nickel Maximilian","year":"2011","unstructured":"Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011. A Three-Way Model for Collective Learning on Multi-Relational Data. In International Conference on Machine Learning."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","unstructured":"Guillermo Palma Maria-Esther Vidal and Louiqa Raschid. 2014. Drug-Target Interaction Prediction Using Semantic Similarity and Edge Partitioning. In ISWC. https:\/\/doi.org\/10.1007\/978-3-319-11964-9_9","DOI":"10.1007\/978-3-319-11964-9_9"},{"key":"e_1_3_2_1_20_1","volume-title":"A neuro-symbolic system over knowledge graphs for link prediction. Semantic WebPreprint","author":"Rivas Ariam","year":"2022","unstructured":"Ariam Rivas, Diego Collarana, Maria Torrente, and Maria-Esther Vidal. 2022. A neuro-symbolic system over knowledge graphs for link prediction. Semantic WebPreprint (2022), 1\u201325."},{"key":"e_1_3_2_1_21_1","volume-title":"8th International Conference on Learning Representations, ICLR","author":"Ruffinelli Daniel","year":"2020","unstructured":"Daniel Ruffinelli, Samuel Broscheit, and Rainer Gemulla. 2020. You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. In 8th International Conference on Learning Representations, ICLR 2020."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2022.100760"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-019-0681-4"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00066-0_9"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02394-3"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2022.103179"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6915850"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","unstructured":"J. Yang A.A.S. Soltan and D.A. Clifton. 2022. Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening. Digit. Med 5 (2022). Issue 69. https:\/\/doi.org\/10.1038\/s41746-022-00614-9","DOI":"10.1038\/s41746-022-00614-9"},{"key":"e_1_3_2_1_30_1","volume-title":"Question answering system based on knowledge graph in traditional Chinese medicine diagnosis and treatment of viral hepatitis B. BioMed Research International 2022","author":"Yin Yating","year":"2022","unstructured":"Yating Yin, Lei Zhang, Yiguo Wang, Mingqiang Wang, Qiming Zhang, Guo-zheng Li, 2022. Question answering system based on knowledge graph in traditional Chinese medicine diagnosis and treatment of viral hepatitis B. BioMed Research International 2022 (2022)."}],"event":{"name":"K-CAP '23: Knowledge Capture Conference 2023","location":"Pensacola FL USA","acronym":"K-CAP '23","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence"]},"container-title":["Proceedings of the 12th Knowledge Capture Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3587259.3627558","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3587259.3627558","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T23:43:47Z","timestamp":1755906227000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3587259.3627558"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,5]]},"references-count":30,"alternative-id":["10.1145\/3587259.3627558","10.1145\/3587259"],"URL":"https:\/\/doi.org\/10.1145\/3587259.3627558","relation":{},"subject":[],"published":{"date-parts":[[2023,12,5]]},"assertion":[{"value":"2023-12-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}