Organization Of Multimedia Data For Conceptual Search Based On Ontologies

dc.creatorde Paula L.B.
dc.creatorVillaca R.S.
dc.creatorMagalhaes M.F.
dc.date2011
dc.date2015-06-30T20:37:10Z
dc.date2015-11-26T14:52:02Z
dc.date2015-06-30T20:37:10Z
dc.date2015-11-26T14:52:02Z
dc.date.accessioned2018-03-28T22:03:58Z
dc.date.available2018-03-28T22:03:58Z
dc.identifier
dc.identifierJournal Of The Brazilian Computer Society. , v. 17, n. 4, p. 241 - 254, 2011.
dc.identifier1046500
dc.identifier10.1007/s13173-011-0042-6
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84868609723&partnerID=40&md5=b98c263d1352e5446e259ab3ff88dbcb
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/108651
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/108651
dc.identifier2-s2.0-84868609723
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1254701
dc.descriptionNowadays, there is a large volume of semantically annotated multimedia data available in the Semantic Web. These data have originated from several different sources, generating new issues about their storage and retrieval. In this scenario, simple ontologies are commonly used to define knowledge domains and classify data into concepts, establishing relations between them. Such conceptual relationship may be measured by a similarity function which allows the search to be performed by similarity in an indexing system. The contribution of this paper is to propose how to organize multimedia data using this conceptual classification in LSH (Locality Sensitive Hashing) functions, facilitating the conceptual search in distributed systems like P2P networks. © 2011 The Brazilian Computer Society.
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dc.languageen
dc.publisher
dc.relationJournal of the Brazilian Computer Society
dc.rightsfechado
dc.sourceScopus
dc.titleOrganization Of Multimedia Data For Conceptual Search Based On Ontologies
dc.typeArtículos de revistas


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