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    Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development

    116071_Knowledge%20extraction%20fromgetPDF.pdf (302.3Kb)
    Access Status
    Open access
    Authors
    Zhao, Shuxin
    Chang, Elizabeth
    Dillon, Tharam S.
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zhao, Shuxin and Chang, Elizabeth and Dillon, Tharam S. 2008. Knowledge extraction from web based application source code: an approach to database reverse engineering for ontology development, in Alhajj, R. and Zhang, K. (ed), International Conference on Information Re-Use and Integration, Jul 13 2008, pp. 153-159. Las Vegas, USA: Institute of Electrical and Electronics Engineers (IEEE).
    Source Title
    Proceedings of the IEEE international conference on information re-use and integration (IRI 2008)
    Source Conference
    IEEE International Conference on Information Re-Use and Integration 2008 (IRI 2008)
    ISBN
    9781424426591
    Faculty
    Curtin Business School
    School of Economics and Finance
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/27750
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents a novel approach for extracting knowledge from web-based application source code in supplementing and assisting ontology development from database schemas. The structure of web-based application source code is defined in order to distinguish different kinds of knowledge within the source code for ontology development. The connections between the relevant parts of web application source code and the backend database schema with their various forms are explicitly specified in detail. A knowledge processing and integration model for extracting and integrating the knowledge embedded in the source code for ontology development is then proposed.

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