{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:07:12Z","timestamp":1764850032368,"version":"3.46.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686387","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T00:00:00Z","timestamp":1764633600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,2]]},"abstract":"<jats:p>Governance of marine genetic resources is fragmented across overlapping treaties, creating uncertainty about which obligations apply in specific situations. We address this by mapping treaty provisions into a normative structure based on Hohfelds framework, the Hohfeld-Structured Normative Knowledge Base (HSNKB), and by constructing a dataset of 15 fact-pattern questions with expert gold answers. We evaluate four recent large language models (LLMs) on retrieving rows that contain the relevant rules to answer the fact-pattern questions. The results indicate that reasoning LLMs achieved modest precision and middling recall. Hohfeldian representations help avoid false positives, but improving recall without degrading precision remains an open problem for cross-treaty retrieval.<\/jats:p>","DOI":"10.3233\/faia251604","type":"book-chapter","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:05:17Z","timestamp":1764849917000},"source":"Crossref","is-referenced-by-count":0,"title":["A Hohfeldian Knowledge Base for LLM-Assisted Legal Information Retrieval in Marine Biodiversity Law"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7124-4799","authenticated-orcid":false,"given":"Rohan","family":"Nanda","sequence":"first","affiliation":[{"name":"Law and Tech Lab, Faculty of Law, Maastricht University"},{"name":"Department of Advanced Computing Sciences, Maastricht University"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0259-5530","authenticated-orcid":false,"given":"Henrique","family":"Marcos","sequence":"additional","affiliation":[{"name":"Faculty of Law, Maastricht University; CEDMAR, So Paulo University"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4527-7316","authenticated-orcid":false,"given":"Hannes","family":"Westermann","sequence":"additional","affiliation":[{"name":"Law and Tech Lab, Faculty of Law, Maastricht University"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2504-7353","authenticated-orcid":false,"given":"Julia","family":"Schutz Veiga","sequence":"additional","affiliation":[{"name":"NOVA School of Law; Ocean Voices, Nippon Foundation, University of Edinburgh"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA251604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:05:17Z","timestamp":1764849917000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"ISBN":["9781643686387"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251604","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,2]]}}}