An ontology-based model for competence management

Citation data:

Data & Knowledge Engineering, ISSN: 0169-023X, Vol: 107, Page: 51-66

Publication Year:
2017
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DOI:
10.1016/j.datak.2016.12.001
Author(s):
Sergio Miranda; Francesco Orciuoli; Vincenzo Loia; Demetrios Sampson
Publisher(s):
Elsevier BV
Tags:
Decision Sciences
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article description
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.