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1、MultimediaAnnotationSystemforIntelligentSearch*1213HaralamposKaranikas,NikosPelekis,DimitrisK.Iakovidis,IoannisKopanakis,12ThomasMavroudakis,YannisTheodoridis1National&KapodistrianUniv.ofAthens,KnowledgeManagementLab.,Greece{bkaranikas,tmavroudakis}@phs.uoa.g
2、r,diakov@di.uoa.gr2DepartmentofInformatics,UniversityofPiraeus,Greece{npelekis,ytheod}@unipi.gr3TechnologicalEducationalInstituteofCrete,e-BusinessIntelligenceLab.,Greecei.kopanakis@emark.teicrete.grAbstractInthispaperwepresentanoverviewoftheintelligentmultim
3、ediaannotationandsearchsystemMetaOn.Thecoreobjectiveistoconstructandintegratesemanticallyrichmetadata,extractedfromdocumentsandimages,tofacilitateintelligentsearchandanalysis.TheproposedMetaOnframeworkinvolves,ontology-basedinformationextractionanddatamining,
4、semi-automaticconstructionofdomainspecificontologies,content-basedimageindexingandretrieval,andmetadatamanagement.TheHellenichistoryhasbeenchosenasachallengingapplicationcasestudy.KeywordsMultimediadatamining,informationextraction,imageprocessing,patternmanag
5、ement1.IntroductionWearelivinginthe“InformationAge”.Theamazinggrowthofdatathatarebeinggeneratedfromheterogeneoussourcesmakesitdifficultforhumanstomanageitandmineusefulinformation.Inmostcompaniesandorganisationsemployeetimeandeffortiswastedinineffectivesearche
6、sintheweborotherconventionalsources.Theinformationoverloadisfurtherexacerbatedduetotheunstructuredformatofthemajorityofthedata.Thevastamountofdatafoundinanorganisation,someestimatesrunashighas80%,aretextualsuchasreports,emails,etc.(MerrillLynch,2000).However,
7、othertypesofdatasuchasimage,videoandspeecharebecomingincreasinglypopular.Thesetypesofdatausuallylackmetadata(dataaboutdata)andasaconsequencetherearenostandardmeanstofacilitatesearch,queryandanalysis.Ontheotherhand,Webisthebiggestdocument(textandimage)collecti
8、onandmostofthecurrentWeb’scontentisdesignedforhumanstoread,ratherthanfordataandinformationthatcanbeprocessedautomaticallybycomputerprograms(Tim,2001).Theneedforaccessing,managingandanalys
