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dc.contributor.authorChang, Elizabeth
dc.contributor.authorDillon, Tharam S.
dc.date.accessioned2017-01-30T10:57:37Z
dc.date.available2017-01-30T10:57:37Z
dc.date.created2008-11-12T23:32:50Z
dc.date.issued2007
dc.identifier.citationRajugan, R and Chang, Elizabeth and Dillon, Tharam S.. 2007. : Visual modeling of ontology views for e-sciences using Xsemantic nets, Computer Based Medical Systems, 2007. ICBMS '07. Twentieth IEEE International Symposium on, 20-22 Jun 2007, pp. 601-606. Maribor, Republic of Slovenia: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/7093
dc.identifier.doi10.1109/CBMS.2007.123
dc.description.abstract

Ontologies are the foundation of the Semantic Web (SW) and one of the keys necessary to its success. Conversely, e-Science domains are usually characterized by heterogeneous semi-structured data models and formats. In recent years, building ontologies are gaining momentum in the e-Science domains to provide explanatory semantics in an agreed, yet shared encodings. Conversely, ontology views hold the promise of; (a) provide a manageable portion of a larger ontology for the localized applications and users, (b) enable precise extraction of sub-onlogies of a larger ontology that commits to the main ontology, (c) enable localized customization and usage of the portion of a larger ontology and (d) enable interoperability between large ontology bases and applications. Therefore, it is interesting to look at ontology views and their desired applications in the context of e-Sciences, as there exists no agreed upon standard, methodology or formalism to specify, define and materialize such ontology views. Thus, in this paper, we elaborate on our own research direction towards proposing a meaningful ontology view formalism and its associated semantics for the e-Science domain.

dc.publisherIEEE
dc.titleVisual modeling of ontology views for e-sciences using Xsemantic nets
dc.typeConference Paper
dcterms.source.startPage601
dcterms.source.endPage606
dcterms.source.conferenceComputer Based Medical Systems, 2007. ICBMS '07. Twentieth IEEE International Symposium on
dcterms.source.conference-start-date20-22 Jun 2007
dcterms.source.conferencelocationMaribor, Republic of Slovenia
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Copyright 2007 IEEE

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curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-2536
curtin.accessStatusOpen access
curtin.facultyCurtin Business School


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