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dc.contributor.authorSidhu, Amandeep
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.contributor.editorRobert Meersman
dc.contributor.editorZahir Tari
dc.contributor.editorPilar Herrero
dc.date.accessioned2017-01-30T12:16:25Z
dc.date.available2017-01-30T12:16:25Z
dc.date.created2008-11-12T23:32:55Z
dc.date.issued2007
dc.identifier.citationSidhu, Amandeep and Dillon, Tharam S. and Chang, Elizabeth. 2007. Protein ontology instance store, in Meersman, R. and Tari, Z. and Herrero, P. (ed), On the move to meaningful internet systems 2007: OTM 2007 workshops, pp. 1348-1354. Berlin, Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19920
dc.identifier.doi10.1007/978-3-540-76890-6_63
dc.description.abstract

Biomedical Knowledge of Proteomics Domain is represented in the Protein Ontology, whose instantiations, which are undergoing evolution, need a good management and maintenance system. Protein Ontology instantiations signify data and information about proteins that is shared and has evolved to reflect development in Protein Ontology Project and Proteomics Domain itself. Protein Ontology needs to be populated with data and information from data and information sources proteomics domain. In this chapter we explore the implementation methodology for Data and Knowledge Management in Proteomics Domain by mapping various protein data and knowledge sources to the concepts defined in the protein ontology and developing a Protein Instance Store

dc.publisherSpringer
dc.titleProtein ontology instance store
dc.typeBook Chapter
dcterms.source.startPage1348
dcterms.source.endPage1354
dcterms.source.titleOn the move to meaningful internet systems 2007: OTM 2007 workshops
dcterms.source.seriesLecture Notes in Computer Science
dcterms.source.isbn9783540768890
curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-2619, PUB-CBS-EEB-EA-39902
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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