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1、基于微博的知识图谱的构建与研究AbstractWiththedevelopmentofinformationtechnology,andthepopularityofPCandmobileterminal,moreandmorepeoplebegantocontacttheinternet.Varioussocialplatforms,suchasfacebook、sinaMicro-blog、tencentMicro-blogandsoon,hadgreatlychangedourwayoflife,andtheinformationcommunica
2、tiononlinewasbecomingmoreandmorefrequentandconvenient.Now,theinternethadbecomeaglobalinformationresourcedatabase,whichcontainedalargeamountofinformation.Withthecharactersofmassive,complexandchangeful,bigdatabroughtgreatdifficultiesforinformationretrieval.Inordertoimprovethequalit
3、yofretrievalandrealizehuman-webinteraction,alsoachievethepredictionofhumansearchpurposefinally;knowledgegraphwasborninthiscase.Withthedevelopmentofsocialnetwork,socialsearchhadbecomeincreasinglyimportant.Constructionknowledgegraphinsocialnetworkingplatformiscrucialforimprovingthe
4、qualityofsocialsearchaboutmassivedatainnetworkplatform.Inthispaper,weconstructedknowledgegraphaboutsinaMicro-blog,andallofthoseworkswereonthebasisofthatconceptandrelationsamongconceptwereextracted.(1),thispaperdefinedthenotionofequilibriumbasedontriadicclosuretocomputetheweightof
5、relationshipsfirstly.(2),andthenimprovedPFNETwasusedtogenerateknowledgegraphaboutasingletopic,wecalledCKG(Compactknowledgegraph).(3),forthesametopic,aseriousofCKGsweregeneratedindifferenttime,alsosomeoftheconceptswerethesame,andthoseCKGsweremergedbasedonsameconcept,whichformedasi
6、ngleknowledgegraph.(4),whenitcametoCKGmergingindifferenttopic,theconceptscouldbeextractedfirstly,iftherewerecommonconceptsamongdifferentknowledgegraph,CKGcouldbemergedthroughthoseconcept;iftherewerenocommonconcepts,weusedrelationsamongconceptstomerge,andthisworkdividedintotwocase
7、:onlyonerelationsbetweenCKGsandmulti-relationshipsamongCKGs,alsoeachcasescouldbetreatedseparately.Specially,inthecaseofmulti-relationships,wemainlycalculatedthebetweennessvaluesforeachrelationship,andonlyretainedtheedgewhosebetweennesswasmaximum.Inthispaper,weverifiedthismethodby
8、experiments,andaknowledgegraphwaseffecti
