{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:13:47Z","timestamp":1777702427175,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2013,11]]},"abstract":"<jats:p>This paper focuses on the application of possibilistic logic in the extension of ontology for uncertain knowledge description. It proposes an uncertain semantic relationship description method based on possibilistic logic and probabilistic statistics. This novel method combines the advantages of subjective valuation and objective statistics, which makes the representation and inference of uncertainty in ontologies more flexible and reasonable. Finally, we apply this quantitative measurement to describe incomplete (uncertain) knowledge and imprecise (vague) information of uncertain knowledge in ontology knowledgebase.<\/jats:p>","DOI":"10.3233\/ifs-120695","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T17:53:40Z","timestamp":1575309220000},"page":"931-940","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["A novel semantic quantitative description method based on possibilistic logic"],"prefix":"10.1177","volume":"25","author":[{"given":"ShengTao","family":"Sun","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Yan Shan University, Hebei Province, P.R. China"},{"name":"Center of Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2013,1]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-120695","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-120695","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:35:51Z","timestamp":1777455351000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-120695"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1]]},"references-count":0,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2013,11]]}},"alternative-id":["10.3233\/IFS-120695"],"URL":"https:\/\/doi.org\/10.3233\/ifs-120695","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1]]}}}