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1、ABSTRACTABSTRACTWiththedevelopmentofnetworktechnologyandrapidincreasinginformationonInternet,informationretrievalsystemplaysakeycomponentforusertoaccuratelysearchinformationoninternet.However,thetraditionalinformationretrievalisonlybasedgrammarmatchandf
2、ull-textsearchtechnologysothattheuser'squeryresultislargeandun-targeted.It’sdifficulttogettrulyrelevantinformation.Theessentialsolutiontosolvethisproblemliesintheinformationretrievalfromthetraditionalgrammar-basedlevelupgradedtoknowledge-basedsemanticle
3、velandtrulyimprovethequeryaccuracy,recall,andsoon.Thispaperthoroughlydiscussessomeissuesrelatedtomedicalontology-basedsemanticretrievalsystem,suchasontologyconstruction,semanticreasoning,semanticannotationandsemanticretrieval.Themaincontentsofthispaperi
4、ncludethefollowingfourparts：Thispaperanalyzedthedomesticandforeignexistinginformationretrievalsystemandsummarizedtheshortcomingsandproblemsoftheexistinginformationretrievaltechnology.Afterthat,wegotthatthemainreasonofthelowqualityoftheseretrievalfundame
5、ntallylieinthetraditionalinformationretrievalbasedonthematchingsyntaxlackofaunifiedsemanticdescriptionandsemanticsofinformationretrievalThenthispaperfocusesontheanalysisoftheSemanticWebandontologytechnology,suchasdefinition,framestructure,ResearchandApp
6、lications.Afterthat,thispaperfocusesontheanalysisofthekeytechnologiesofmedicalontology-basedsemanticretrieval，suchasontologyconstructiontechnology,semanticreasoningtechnology,semanticannotationtechnologyandsoon.Onthebasisofthesetechnologies,thispaperpro
7、posedadesignofthemedicalontology-basedsemanticWebretrievalsystem.Withthehelpofthisdesign,webuildtherheumaticontology,semanticallyexpandtheontologybySWRLrulelanguageandformulatethemarkeddocumentswiththeJAPEruletocontactontologyandtheretrievaltarget.Atlas
8、t,medicalontology-basedsemanticretrievalsystemwasdevelopedbasedonthetechnologytheoryandsystemdesigninprevioussections.WiththehelpofsemanticII万方数据ABSTRACTextensionandsemanticannotation,thisretrievalsystemcoulddeepminingallkindsofi
