1、西北大學碩士學位論文基于相似度計算的本體映射方法研究姓名：徐茜申請學位級別：碩士專業(yè)：信號與信息處理指導教師：彭進業(yè)20100609AbstractAsanintelligentnetwork，theSemanticWebwhichcanunderstandthehumanlanguageisoneofresearchhotspotsinthecurrentInternettechnologiesTheSemanticWebisanex

2、tensionofthecurrentnetworkItCanexpresstheinformationresourcesbyaclearandformalwayandenablecomputersanduserstoworkincooperationAsakeytechnologyintheSemanticWeb，ontologyhasgotmoreandmoreextensiveresearchandapplicationsOnto

3、logyisanexplicitandformalspecificationofthesharedconceptualmodelTherearenotuniformnormsandstandardsinontologyconstructionDifferentcreatorsusedifferentmodelingmethodstoconstructontologyEvenmodelingthethingsinthesamefield，

4、therearedifferencesbetweenontologieswhichdifferentexpertsconstructTherefore，theheterogeneousproblemamongontologiesisparticularlyprominentInordertosolvetheheterogeneousproblembetweenontologies，andachieveinteroperabilitybe

5、tweenheterogeneousontologies，themosteffectivewayistoestablishmappingrelationsbetweenontologiesAimingtotheproblemswhichexistinthetraditionalmethodsofontologymapping，suchascommonalityisnothigh，similaritycalculationmethodis

6、notcomprehensive，similaritycomputationisexcessive，mappingefficiencyislowetc，thispaperpresentsallontologymappingmethodbasedoncalculatingsimilarityThemainresearchworksareasfollows：(1)Aimingtotheproblemswhichexistinthetradi

7、tionalmethodsofontologymapping，suchassimilaritycomputationisexcessiveandmappingefficiencyislowthispaperpresentsanapproachtodecompositappropriateontologies，thenmappingbetweenfragmentsIntheprocessofmapping，weselectcandidat

8、esandcomputetheirintegratedsimilaritiesThus，ontologymappingmethodproposedinthispaperreducesthecalculationofsimilarityandimprovestheefficiencyofontologymapping(2)Aimingtotheproblemswhichexistinthetraditionalmethodsofontol

9、ogymapping，such嬲commonalityisnothighandsimilaritycalculationmethodisnotcomprehensive，throughanalysisingexistingsimilaritycalculationmethod，thispaperpresentsacomprehensivemethodofcalculatingentitiessimilaritiesbetweenonto