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    Ontology based Intelligent System for Online Employer Demand Analysis

    Access Status
    Fulltext not available
    Authors
    Terblanche, C.
    Wongthongtham, P.
    Vilazon-Terrazas, B.
    Wongthongtham, Pornpit
    Date
    2016
    Type
    Book Chapter
    
    Metadata
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    Citation
    Terblanche, C. and Wongthongtham, P. and Vilazon-Terrazas, B. and Wongthongtham, P. 2016. Ontology based Intelligent System for Online Employer Demand Analysis, in Ordonex de Pablos, P. and Tennyson, R. (ed), Impact of Economic Crisis on Education and the Next-Generation Workforce, pp. 185-213. Hershey: IGI Global.
    Source Title
    Impact of Economic Crisis on Education and the Next-Generation Workforce
    DOI
    10.4018/978-1-4666-9455-2.ch009
    ISBN
    9781466694569
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/40762
    Collection
    • Curtin Research Publications
    Abstract

    Identifying employer demand is crucial for a nation to ensure it develops accurate and reliable education, workforce development and immigration policies. Skills shortages globally pose a real and urgent need for proper investigation and workforce development planning into the future. Analysing workforce development and employer demand needs through online job market allows much deeper and wider research into skill shortages. Current methods do not provide the level of depth required to address such important economic implications. In this chapter, the authors present an intelligent system aiming to gather and analyse current employer demand information from online job advertisements. An Employer Demand Ontology has been developed and to further the ontology functionality, the Employer Demand Identification Tool has been developed as a semi-automated means to gather and analyse current employer demand information on a regular basis.

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