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dc.contributor.authorByambajargal, Byambajav
dc.date.accessioned2011-09-24T10:08:34Z
dc.date.available2011-09-24T10:08:34Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/11250/181767
dc.descriptionMaster's thesis in Computer scienceen_US
dc.description.abstractVolume of publicly available data in biomedicine is constantly increasing. However, this data is stored in different formats on different platforms. Integrating this data will enable us to facilitate the pace of medical discoveries by providing scientists with a unifed view of this diverse information. Under the auspices of the National Center for Biomedical Ontology, we have developed the Resource Index a growing, large-scale index of more than twenty diverse Biomedical resources.en_US
dc.language.isoengen_US
dc.publisherUniversity of Stavanger, Norwayen_US
dc.relation.ispartofseriesMasteroppgave/UIS-TN-IDE/2011;
dc.subjectdistributed programmingen_US
dc.subjectHadoopen_US
dc.subjectsoftwareen_US
dc.subjectinformasjonsteknologien_US
dc.subjectdatateknikken_US
dc.titleMethods for large-scale semantic expansion on Hadoop architectureen_US
dc.typeMaster thesisen_US
dc.subject.nsiVDP::Technology: 500::Information and communication technology: 550::Computer technology: 551en_US
dc.source.pagenumber61en_US


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