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    An ontology-based model for competence management

    Access Status
    Fulltext not available
    Authors
    Miranda, S.
    Orciuoli, F.
    Loia, V.
    Sampson, Demetrios
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Miranda, S. and Orciuoli, F. and Loia, V. and Sampson, D. 2017. An ontology-based model for competence management. Data and Knowledge Engineering. 107: pp. 51-66.
    Source Title
    Data and Knowledge Engineering
    DOI
    10.1016/j.datak.2016.12.001
    ISSN
    0169-023X
    School
    School of Education
    URI
    http://hdl.handle.net/20.500.11937/51103
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 Elsevier B.V.In the last years, the need for developing strategies, models and tools to manage competences clearly emerges in numerous scenarios. For instance, this emergence especially raises when it is required to realize effective recruiting platforms, decision support systems for human resource management, learning management systems and so on. This work proposes an ontology-based model for the representation of competences able to support a wide range of scenarios where it is fundamental to model, organize and represent professional competences, enable interoperability and co-operation among different and heterogeneous tools and, lastly, execute queries and inference operations over these competences. The proposed model starts from the outcomes of the specialized literature and the related R&D projects and produces a novel integrated model that represents both job offers and demands to support recruiting initiatives and to develop employability strategies aiming at a best matching as well as a careful skill gap analysis. The model has been evaluated by means of a three-level approach also in the context of the SIRET project whose goal is defining a recruiting and training integrated system able to represent the professional competences of users and to understand the supplies and the demands in order to find optimal agreements in the job market.

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