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1、SimilarityforConceptualQueryingTroelsAndreasen,HenrikBulskov,andRasmusKnappeDepartmentofComputerScience,RoskildeUniversity,P.O.Box260,DK-4000Roskilde,Denmarkftroels,bulskov,knappeg@ruc.dkAbstract.Thefocusofthispaperisapproachestomeasuringsimilar-ityforapplicationincontent-basedquery
2、evaluation.Ratherthanonlycomparingatthelevelofwords,theissuehereisconceptualresemblance.Thebasisisaknowledgebasedeˉningmajorconceptsofthedomainandmayincludetaxonomicandontologicaldomainknowledge.Thechallengeforsupportofqueriesinthiscontextisanevaluationprinciplethatontheonehandrespe
3、ctstheformationrulesforconceptsintheconceptlanguageandontheotherissu±cientlye±cienttocandidateasare-alisticprincipleforqueryevaluation.Wepresentanddiscussprincipleswheree±ciencyisobtainedbyreducingthematchingproblem-whichbasicallyisamatterofconceptualreasoning-tonumericalsimilarityc
4、omputation.1IntroductionThegoalforconcept-basedquerying,intextretrievalsystems,istoincludesemantics,lookingforimprovementsthatcanenhancethesystemsabilitytogenerateidealanswers.Inthiscontext,oneofthemajorproblemsistodeterminethesimilaritybetweenthesemanticelements.Itisnolongeronlysim
5、plematchofkeywordsinthetextobjects,butalsothemeaningofthem,wehavetotakeintoconsiderationwhenwecalculatethesimilaritybetweenqueriesandobjectsinourdatabase.Thefoundationofthispaperisourpreviouswork[1]andoura±liationtotheinterdisciplinaryresearchprojectOntoQuery1(Ontology-basedQuerying
6、)[3,4].Weassumethattextobjectsaredescribedbycompoundconceptsinade-scriptionlanguageandthatqueriesareexpressedinthelanguageorcanbetransformedintothis,andthatthesedescriptionsrefertoaknowledgebaseclarifyingthedomainofthedatabase.Theenvironmentforthistypeofquery-ingmaybeasystemthatauto
7、maticallycanproduceconceptualdescriptions(conceptualindexing)oftextobjectsandsupporttextual/wordlistqueriesbyinitialtransformationintodescriptions.1Theprojecthasthefollowingparticipatinginstitutions:CentreforLanguageTech-nology,TheTechnicalUniversityofDenmark,CopenhagenBusinessSchoo
8、l,RoskildeUniversit
