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1、西南交通大学硕士学位论文基于概念匹配度模型的文献检索系统姓名:李静申请学位级别:硕士专业:应用数学指导教师:宋振明20090101西南交通大学硕士研究生学位论文第1I页AbstractInthetraditionalmanualdocumentretrieval.theindexingandretrievalofscientificdocumentsaredonemanually.Withincreaseinthenumberofelectronicdocuments,manualdocumentretrievalhasmanylimits,wemustusecomputerstopr
2、ocessthislargenumberofdocumentsSOthatwecanincreasethenumberandthespeedofdocument—processing.InformationRetrievalSystemhasbeenmadealargedevelopmentandprogressfordecades,InformationRetrievalSystembasingonfromeasy-to—useBooleanSearchModel,theVectorSpaceModeltotheProbabilityModel,whichincreasestheac
3、curacyofInform.ationRetrieval.ButdifferentInformationRetrievalSystemshavedifferentperformancesfordifferentdocuments。ItisveryusefulandnecessarytomakeexistingretrievalsystemsadapttotheChinesescientificdocumentsinordertoimprovetheaccuracyofInformationRetrieval.Howtoimprovepagerepresentationtomaketh
4、eactualcontentofthepagemoreaccurateandhowtoimprovethematchingmethodbetweendocumentanduser’Squery,arerelatedtothepreciserateofdocumentsearching.ThispaperanalyzethedocumentrepresentationfromtheConceptLatticetheory,throughmappingthequeryandreturningdocumentstotheontology,wecanstructuretheConceptLat
5、ticefromtheircommonbackground,thenweusetheConceptualMatchingDegreecalculatingthedegreebetweentheconceptofthequestionandanyothertheconcept.Finally,wesortthedegreeinaccordancewiththematchingdegree,SOthattheanSWercallmeettheusersquery.ThisisaDocumentRetrievalSystembasedonthemodelofConceptualMatchin
6、gDegreeinChapter3.Takingintoaccountadocumentusedasanobject,akeywordasanattributeoftheconcept,ifweestablishasinglelarge—scaleConceptLatticeforthewholesetofdocuments,therewillexistcomplexalgorithmsandlargemovingexpensesamonglattices.Therefore,thispaperalsomakesaDocumentRetrievalSystembasedonthemod
7、elofConceptLatticeMatchingDegree.西南交通大学硕士研究生学位论文第llI页Examplesshowthattheimprovedmodelmatchesmorewiththethinkingofhuman’Sthoughtandwithpeople’Sunderstanding.Thismodelisfeasible.KeywordsConceptLattice;DocumentRetrievalSystem;C
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