{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:01Z","timestamp":1740202021756,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>Ontologies are hard to obtain and are almost exclusively built by human experts, what makes them difficult to validate and even more time-consuming. The comparison of the taxonomy structure combined with the calculation of similarity between labels is insufficient for this task for several reasons, most notably because an ontology language only provides tools to represent the knowledge and does not dictate how this knowledge representation is to be achieved. Thus, two ontologies built by two people for the same domain might be entirely different in structure. The objective of this work is to demonstrate that crowdsourcing games techniques are able to improve the process of juridical ontology validation. Crowdsourcing games emerged as an alternative to solving computational problems hard to be solved by machine computation (which includes acquiring semantic structures), via aggregation of knowledge provided by many non-expert users making it more accurate. Thus, the crowdsourcing games allow environment of ontology construction in the Multilingual Editor of Legal Ontologies, which allows the acquisition, management and sharing of ontologies. The advantage of crowdsourcing approaches against the expert-based approaches is a much greater scale of discovered semantics. This work uses Ontojuris Knowledge Base (24410 Brazilian Laws and Decrees) and a Ontojuris Domain Ontologies (Human Rights) in the context of indigenous population in Latin America.<\/jats:p>","DOI":"10.3233\/978-1-61499-468-8-201","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:26:53Z","timestamp":1740133613000},"source":"Crossref","is-referenced-by-count":0,"title":["Using Crowdsourcing Games Techniques and Similarity Metrics to Improve Legal Ontologies Expansion"],"prefix":"10.3233","author":[{"family":"Bueno Tania C.D.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Roggia Karina G.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Hoeschl Hugo C.","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":[[2025,2,21]],"date-time":"2025-02-21T10:57:32Z","timestamp":1740135452000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=271&spage=201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-468-8-201","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2014]]}}}