Saruladha Krishnamurthy, A. Janardanan, B. Akoramurthy
{"title":"基于粗糙集的本体匹配","authors":"Saruladha Krishnamurthy, A. Janardanan, B. Akoramurthy","doi":"10.4018/IJRSDA.2018040103","DOIUrl":null,"url":null,"abstract":"Ontologiesenrichestheknowledgeandaddmeaningtothedataresidinginsemanticweb.Ontology matchingidentifiesconceptsformatchinginsourceontologiestothetargetontologiestoeliminate heterogeneities.Despiteusing similaritymeasures for identifying similar concepts, theontology matchingsystemsfailstohandleuncertainty.Thispaperproposesaroughsetbasedontologymatching systemtohandleuncertaintywhichaims(i)tooptimizeconceptsconsideredformatchingbyusing concepttypeclassification(ii)touseroughsetconceptsusingindiscernibilityrelationsandreducts (iii)toapplycriterionofrealism–adecisionmakingunderuncertaintycriteria.Theexperiments conductedintheOAEIbenchmarkdatasets,RSOMsystemyieldedanincreaseof8%inprecision. Thecombinedapproachofusingreductandindiscenibiltyrelationsreducesthenumberofconcepts consideredformatchingamonguncertainentitiestoabout70%incomparisontotheexistingsystems andincreasestheaccuracyofresultsbyusingcriterionofrealism. KeywORDS Criterion of Realism, Ontology Matching, Reduct, Rough Sets, Uncertainty","PeriodicalId":152357,"journal":{"name":"Int. J. Rough Sets Data Anal.","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Rough Set Based Ontology Matching\",\"authors\":\"Saruladha Krishnamurthy, A. Janardanan, B. Akoramurthy\",\"doi\":\"10.4018/IJRSDA.2018040103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontologiesenrichestheknowledgeandaddmeaningtothedataresidinginsemanticweb.Ontology matchingidentifiesconceptsformatchinginsourceontologiestothetargetontologiestoeliminate heterogeneities.Despiteusing similaritymeasures for identifying similar concepts, theontology matchingsystemsfailstohandleuncertainty.Thispaperproposesaroughsetbasedontologymatching systemtohandleuncertaintywhichaims(i)tooptimizeconceptsconsideredformatchingbyusing concepttypeclassification(ii)touseroughsetconceptsusingindiscernibilityrelationsandreducts (iii)toapplycriterionofrealism–adecisionmakingunderuncertaintycriteria.Theexperiments conductedintheOAEIbenchmarkdatasets,RSOMsystemyieldedanincreaseof8%inprecision. Thecombinedapproachofusingreductandindiscenibiltyrelationsreducesthenumberofconcepts consideredformatchingamonguncertainentitiestoabout70%incomparisontotheexistingsystems andincreasestheaccuracyofresultsbyusingcriterionofrealism. KeywORDS Criterion of Realism, Ontology Matching, Reduct, Rough Sets, Uncertainty\",\"PeriodicalId\":152357,\"journal\":{\"name\":\"Int. J. Rough Sets Data Anal.\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Rough Sets Data Anal.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJRSDA.2018040103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Rough Sets Data Anal.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJRSDA.2018040103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10