基于遗传算法的本体映射算法研究与实现.docx

基于遗传算法的本体映射算法研究与实现
Abstract
Ontologymappingplaysacrucialroleintheintegrationofheterogeneousdatasources.However,duetotheheterogeneityofontologies,mappingbetweenthemisacomplexandchallengingtask.Toaddressthisissue,thispaperproposesageneticalgorithm-basedontologymappingalgorithm.First,wedefinethemappingfitnessfunctionbasedonthesimilarityofconceptlabelsandrelationsinthesourceandtargetontologies.Then,weuseageneticalgorithmtoconstructanoptimalmappingbasedonthedefinedfitnessfunction.Theproposedalgorithmisimplementedandevaluatedonseveralbenchmarkdatasets.Theexperimentalresultsdemonstratethattheproposedalgorithmachievesbetterperformancecomparedtoexistingontologymappingalgorithms.
Introduction
Asthenumberofonlinedatasourcescontinuestogrow,theneedforintegratingthesesourcesandprovidingunifiedaccesstothembecomesincreasinglyimportant.Oneapproachtoachievingthisgoalistouseontologiesasameansofdescribingthedata.Anontologyisaformalrepresentationofdomainknowledgethatdefinesasetofconcepts,theirproperties,andtherelationshipsbetweenthem.
However,theuseofmultipleontologiesfromdifferentdomainspresentsamajorchallengefordataintegration.Mappingbetweenontologiesmustbeperformedtointegratedatafromdifferentsources,butontologymappingisacomplexandtime-consumingtask.Theproblemofontologymappingistoestablishcorrespondencesorrelationshipsbetweenconceptsandrelationsindifferentontologies.
Therehavebeenmanyapproachesproposedforontologymappingsuchassimilarity-basedapproaches,logic-basedapproaches,andmachinelearning-basedapproaches.However,duetothecomplexityoftheproblem,nosingleapproachissuperiortoallothersunderallcircumstances.Inthispaper,weproposeageneticalgorithm-basedontologymappingalgorithmthatcanhandletheheterogeneitybetweenontologies.
ProposedMethod
Ageneticalgorithmisasearchheuristicthatmimicstheprocessofnaturalselection.Itiscommonlyusedtofindsolutionstooptimizationandsearchproblems.Inourproposedmethod,weuseageneticalgorithmtofindtheoptimalmappingbetweentwoontologies.
Theproposedalgorithmconsistsofthe