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    A semantic crawler based on an extended CBR algorithm

    116131_7956_PUB-CBS-EEB-MC-45228.pdf (3.569Mb)
    Access Status
    Open access
    Authors
    Dong, Hai
    Hussain, Farookh Khadeer
    Chang, Elizabeth
    Date
    2008
    Type
    Conference Paper
    
    Metadata
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    Citation
    Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2008. A semantic crawler based on an extended CBR algorithm, in Meersman, R. and Tari, Z. and Herrero, P. (ed), 4th IFIP Workshop on Semantic Web & Web Semantics, Nov 10 2008, pp. 1076-1085. Monterrey, Mexico: Springer.
    Source Title
    Lecture notes in computer science LNCS 5333
    Source Conference
    4th IFIP Workshop on Semantic Web & Web Semantics (SWSS 2008)
    DOI
    10.1007/978-3-540-88875-8_135
    ISBN
    9783540888741
    Faculty
    Curtin Business School
    School of Information Systems
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

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

    URI
    http://hdl.handle.net/20.500.11937/36321
    Collection
    • Curtin Research Publications
    Abstract

    A semantic (web) crawler refers to a series of web crawlers designed for harvesting semantic web content. This paper presents the framework of a semantic crawler that can abstract metadata from online webpages and cluster the metadata by associating them with ontological concepts. The clustering is based on a CBR algorithm which is adopted in the field of problem solving. We reveal the technical details with regard to ontological concept and metadata format, and the extended CBR algorithm. In addition, the system implementation and evaluation details are provided in detail, finalized by our conclusion and further works.

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