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    Semi-automatic ontology extension using spreading activation

    19943_downloaded_stream_461.pdf (375.1Kb)
    Access Status
    Open access
    Authors
    Chang, Elizabeth
    Liu, W.
    Scharl, A.
    Weichselbraun, A.
    Date
    2005
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Chang, Elizabeth and Liu, Wei and Scharl, Arno and Weichselbraun, Albert. 2005. Semi-automatic ontology extension using spreading activation. Journal of Universal Knowledge Management. (1): 50-58.
    Source Title
    Journal of Universal Knowledge Management
    Additional URLs
    http://www.jucs.org/jukm_0_1/semi_automatic_ontology_extension/scharlb.pdf
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    URI
    http://hdl.handle.net/20.500.11937/16085
    Collection
    • Curtin Research Publications
    Abstract

    This paper describes a system to semi-automatically extend and refine ontologies by mining textual data from the Web sites of international online media. Expanding a seed ontology creates a semantic network through co-occurrence analysis, trigger phrase analysis, and disambiguation based on the WordNet lexical dictionary. Spreading activation then processes this semantic network to find the most probable candidates for inclusion in an extended ontology. Approaches to identifying hierarchical relationships such as subsumption, head noun analysis and WordNet consultation are used to confirm and classify the found relationships. Using a seed ontology on "climate change" as an example, this paper demonstrates how spreading activation improves the result by naturally integrating the mentioned methods.

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