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Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)
Visual Modeling of Ontology Views for e-Sciences Using XSemantic Nets
Maribor, Slovenia
June 20-June 22
ISBN: 0-7695-2905-4
R. Rajugan, Curtin University of Technology, Australia
Elizabeth Chang, Curtin University of Technology, Australia
Tharam S. Dillon, Curtin University of Technology, Australia
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 semistructured 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.
Citation:
R. Rajugan, Elizabeth Chang, Tharam S. Dillon, "Visual Modeling of Ontology Views for e-Sciences Using XSemantic Nets," cbms, pp.601-606, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007
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