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    Modeling ontology views: An abstract view model for semantic web

    19483_downloaded_stream_1.pdf (518.0Kb)
    Access Status
    Open access
    Authors
    Chang, Elizabeth
    Rajugan, R.
    Dillon, Tharam S.
    Feng, L.
    Wouters, C.
    Date
    2005
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Chang, Elizabeth and Rajugan, R. and Dillon, Tharam S. and Feng, Ling and Wouters, Carlo. 2005. : Modeling ontology views: An abstract view model for semantic web, in Terziyan, V. and Bramer, M. (ed), First International IFIP/WG12.5 Working Conference on Industrial Applications for Semantic Web (IASW), Aug 25 2005, pp. 227-249. Jyvaskyla, Finland: Springer.
    Source Title
    Industrial Applications for Semantic Web
    Source Conference
    First International IFIP/WG12.5 Working Conference on Industrial Applications for Semantic Web (IASW)
    DOI
    10.1007/0-387-29248-9_14
    Additional URLs
    https://link.springer.com/
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/12689
    Collection
    • Curtin Research Publications
    Abstract

    The emergence of Semantic Web (SW) and the related technologies promise to make the web a meaningful experience. However, high level modelling, design and querying techniques proves to be a challenging task for organizations that are hoping to utilize the SW paradigm for their industrial applications. To address one such issue, in this paper, we propose an abstract view model with conceptual extensions for the SW. First we outline the view model, its properties and some modelling issues with the help of an industrial case study example. Then, we provide some discussions on constructing such views (at the conceptual level) using a set of operators. Later we provide a brief discussion on how such this view model can utilized in the MOVE [1] system, to design and construct materialized Ontology views to support Ontology extraction.

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