{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:06:56Z","timestamp":1764850016556,"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>Legal decision-making requires comprehensive legislative knowledge and up-to-date case information. Legal Knowledge Graphs can enhance accessibility of such information, support semantic querying, and serve as knowledge-intensive components for predictive machine learning applications. To address the limited availability of legal KGs, this work develops a KG focused on cases of violence against women. Two complementary construction approaches are presented: a bottom-up, domain-customized methodology and a novel Large Language Model-based solution. Both integrate data extraction, ontology development, and semantic enrichment using sentences from the European Court of Justice as sources. The resulting KGs are validated through competency questions and show potential to improve access to legal information, enable complex queries, and provide a valuable knowledge backbone for supporting predictive tasks such as case outcome analysis.<\/jats:p>","DOI":"10.3233\/faia251575","type":"book-chapter","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:04:31Z","timestamp":1764849871000},"source":"Crossref","is-referenced-by-count":0,"title":["Automated Creation of a Legal Knowledge Graph Addressing Cases of Violence Against Women. Resource Methodology and Lessons Learned"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3385-987X","authenticated-orcid":false,"given":"Claudia","family":"D\u2019Amato","sequence":"first","affiliation":[{"name":"Computer Science Department, University of Bari Aldo Moro, Italy"}]},{"given":"Giuseppe","family":"Rubini","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Bari Aldo Moro, Italy"}]},{"given":"Francesco","family":"Didio","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Bari Aldo Moro, Italy"}]},{"given":"Donato","family":"Francioso","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Bari Aldo Moro, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8463-0330","authenticated-orcid":false,"given":"Fatima Zahra","family":"Amara","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Bari Aldo Moro, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5319-7933","authenticated-orcid":false,"given":"Nicola","family":"Fanizzi","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Bari Aldo Moro, Italy"}]}],"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\/FAIA251575","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:04:32Z","timestamp":1764849872000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251575"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"ISBN":["9781643686387"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251575","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]]}}}