{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:10:21Z","timestamp":1764850221517,"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>EmoLawConnect is an AI-powered matching engine for family conflict resolution that recommends lawyers by combining legal case profiles with clients\u2019 emotional preferences and value alignment. It integrates a multi-layer pipeline that processes user inputs (e.g., emotional expression, legal needs) and professional profiles (e.g., legal expertise, practice orientation). The architecture merges rule-based pre-filtering with a semantic\u2013emotional scoring module built on matrix factorization and value-aware alignment. The prototype was evaluated through scenario-based testing and a rule-based legal-consistency proxy. Results suggest improved user\u2013professional compatibility and trust, with potential contributions to access to justice. The approach provides a foundation for broader legal-service applications where affective or interpersonal alignment matters.<\/jats:p>","DOI":"10.3233\/faia251607","type":"book-chapter","created":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:05:24Z","timestamp":1764849924000},"source":"Crossref","is-referenced-by-count":0,"title":["EmoLawConnect: An AI-Powered Matching Engine for Professionals Supporting Family Conflict Resolution"],"prefix":"10.3233","author":[{"given":"Kohei","family":"Oshio","sequence":"first","affiliation":[{"name":"Graduate School of Information and Communication, Meiji University, Japan"}]}],"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\/FAIA251607","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T12:05:24Z","timestamp":1764849924000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA251607"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,2]]},"ISBN":["9781643686387"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia251607","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]]}}}