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Visual modeling of ontology views for e-sciences using Xsemantic nets

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Authors
Chang, Elizabeth
Dillon, Tharam S.
Date
2007
Type
Conference Paper

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Rajugan, 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.
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Computer Based Medical Systems, 2007. ICBMS '07. Twentieth IEEE International Symposium on
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Faculty
Curtin Business School
School
Centre for Extended Enterprises and Business Intelligence
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Copyright 2007 IEEE

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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.