本體粒及本體粒計(jì)算的研究

本體粒及本體粒計(jì)算的研究

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時(shí)間:2019-05-13

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1、華東交通大學(xué)碩士學(xué)位論文本體粒及本體粒計(jì)算的研究姓名:范萍申請(qǐng)學(xué)位級(jí)別:碩士專業(yè):計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師:黃兆華20080418AbstractSTUDYONONTOLOGYGRANULESANDONTOLOGYGRANULARCOMPUTINGABSTRACTAsaresearchpopularpoint,granular-computingtheoryattractivesmoreandmorepeopleovertheworld.Fuzzyset,RoughsetandQuotientspacearerecognizedasthreedifferentGrctheories.

2、Theyhavetheirownperspectivesinsolvingproblems,butallofthemhaveacommoncharacteristicthatconsidersproblemsindifferentlevelsandhasthesimilarofthinkinglikehumanbeing.Theadvanceofontologydecreasesandeliminatesconfusionofdomainconceptandterms,makingbaseofsystems,whichcommunicate,sharewithandmanipula

3、teeachother,anditsolvestheproblemofknowledge’sshareandreuse.Thisthesisproposesanewgranularcomputingmodel,ontologygranularspacemodel.Thebasicideaofthemodelisbasedonthehumanabilitythatis,peoplecanabstractorsynthetizetheknowledgeanddatarelatedtospecialtaskstodifferentdegreesorsizesgranules,andacc

4、omplishthetaskswiththehelpsofthegranulesandrelationsamongthem.Themainresearchesandcontributionsasfollows:(1)Wemainlydiscusstheissuesaboutthedefinitionofontologygranules,therelationsamongontologygranules,thecompositionanddecompositionofontologygranules,theformulatingofthemodels,modelconstructin

5、gmethods,andthefeaturesandpropertiesofontologygranularmodels,etc.(2)Proposethegranularcomputingmodelbasedonontology.Themodelisconstructedbasedonontologysimilarrelations,anditiscomposedwithfourparts:ontologysystem,similarrelationsystem,transformationfunctionandnestedtolerancecoveringsystem.Them

6、ainfeaturesofthemodelfocusonthedefinitionofontologygranulesandtheproblemsolvingmethodswiththehelpofthehierarchicalandnestedstructureoftolerancegranularspaces.(3)AnalgorithmnamedGrc-Searchforthemodelapplyingtothetextretrievalisdesigned,andexperientsillustratethatitcanreducebothtimecomplexityand

7、spacecomplexity.Basedonabovefruits,wehaveaconclusionaboutthetheoryandapplicationsofontologygranularspaces.Besides,someproblemsinthemodelandourfutureworksareproposed.KeyWords:Ontology,GranularComputing,OntologySimilarity,OntologyGranules

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