{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T23:02:12Z","timestamp":1748818932226,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"abstract":"<jats:p>In this paper an approach to legal rules modelling based on a semantic model for legislation and oriented to knowledge reusability and sharing is presented. An automatic methodology able to support rules learning is proposed as well: it is based on techniques of knowledge extraction from legislative texts. This combined approach is aimed at giving a contribution to bridge the gap between consensus and authoritativeness in legal knowledge representation.<\/jats:p>","DOI":"10.3233\/978-1-60750-082-7-59","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:06:08Z","timestamp":1740053168000},"source":"Crossref","is-referenced-by-count":2,"title":["An Approach to Legal Rules Modelling and Automatic Learning"],"prefix":"10.3233","author":[{"family":"Francesconi Enrico","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Legal Knowledge and Information Systems"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:25:17Z","timestamp":1740054317000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=205&spage=59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-082-7-59","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2009]]}}}