{"title":"语义网不精确本体构建方法研究","authors":"Guan-yu Li, Guoshuan Han, Xiaomin Hu","doi":"10.1109/ICSESS.2012.6269472","DOIUrl":null,"url":null,"abstract":"Imprecision includes fuzziness and roughness, so imprecise ontology includes fuzzy ontology and rough ontology. Through the investigation to current construction methods about fuzzy and rough ontology, the analysis and comparison to related imprecise ontology construction methods are given. By introducing inclusion degree, a novel method of fuzzy and rough ontology construction is proposed to solve the problem of being unilaterally fuzziness-based or roughness-based in current research domain. Finally, the future research direction is discussed.","PeriodicalId":205738,"journal":{"name":"2012 IEEE International Conference on Computer Science and Automation Engineering","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semantic Web imprecise ontology construction method research\",\"authors\":\"Guan-yu Li, Guoshuan Han, Xiaomin Hu\",\"doi\":\"10.1109/ICSESS.2012.6269472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Imprecision includes fuzziness and roughness, so imprecise ontology includes fuzzy ontology and rough ontology. Through the investigation to current construction methods about fuzzy and rough ontology, the analysis and comparison to related imprecise ontology construction methods are given. By introducing inclusion degree, a novel method of fuzzy and rough ontology construction is proposed to solve the problem of being unilaterally fuzziness-based or roughness-based in current research domain. Finally, the future research direction is discussed.\",\"PeriodicalId\":205738,\"journal\":{\"name\":\"2012 IEEE International Conference on Computer Science and Automation Engineering\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Computer Science and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2012.6269472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2012.6269472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semantic Web imprecise ontology construction method research
Imprecision includes fuzziness and roughness, so imprecise ontology includes fuzzy ontology and rough ontology. Through the investigation to current construction methods about fuzzy and rough ontology, the analysis and comparison to related imprecise ontology construction methods are given. By introducing inclusion degree, a novel method of fuzzy and rough ontology construction is proposed to solve the problem of being unilaterally fuzziness-based or roughness-based in current research domain. Finally, the future research direction is discussed.
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