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    A hybrid concept similarity measure model for ontology environment

    Access Status
    Fulltext not available
    Authors
    Dong, Hai
    Hussain, Farookh Khadeer
    Chang, Elizabeth
    Date
    2009
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2009. A hybrid concept similarity measure model for ontology environment, in Robert Meersman, Pilar Herrero and Tharam Dillon (ed), On the move to meaningful internet systems: OTM 2009 workshops. pp. 848-857. Heidelberg: Springer.
    Source Title
    On the move to meaningful internet systems: OTM 2009 workshops
    DOI
    10.1007/978-3-642-05290-3_103
    ISBN
    9783642052897
    Faculty
    Curtin Business School
    The Digital Ecosystems and Business Intelligence Institute (DEBII)
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

    The original publication is available at : http://www.springerlink.com

    URI
    http://hdl.handle.net/20.500.11937/5012
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we present a hybrid concept similarity measure model for the ontology environment. Whilst to date many similar technologies have been developed for semantic networks, few of them can be directly applied to the semantic-rich ontology environment. Before the measure model is adopted, an ontology is required to be converted into a lightweight ontology space, and within it all the ontology concepts need to be transformed into the pseudo concepts. By means of this model, ontology concept similarities are measured respectively based on the content of pseudo-concepts and the structure of the lightweight ontology space. Afterwards, the two aspects of concept similarity are leveraged as the eventual product. In addition, an experiment is conducted to evaluate the measure model based on a small ontology. Conclusions are drawn and future works are planned in the final section.

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