Title :
Visual Modeling of Ontology Views for e-Sciences Using XSemantic Nets
Author :
Rajugan, R. ; Chang, Elizabeth ; Dillon, Tharam S.
Author_Institution :
Curtin Univ. of Technol., Perth
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 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-ontologies 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.
Keywords :
ontologies (artificial intelligence); semantic Web; XSemantic nets; e-science; heterogeneous semistructured data models; interoperability; ontology; semantic Web; Data models; Data structures; Encoding; Ontologies; Proteins; Search engines; Semantic Web; Vocabulary; Web sites; World Wide Web;
Conference_Titel :
Computer-Based Medical Systems, 2007. CBMS '07. Twentieth IEEE International Symposium on
Conference_Location :
Maribor
Print_ISBN :
0-7695-2905-4
DOI :
10.1109/CBMS.2007.123