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Ontology-Based Systems Dedicated to Human Resources Management: An Application in e-Recruitment

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4278))

Abstract

This paper presents the CommOn framework (Competency Management through Ontologies) which aims at developing operational Knowledge-Based Systems founded on ontologies and dedicated to the management of competencies. Based on two different models (implemented within specific tools developped with the Protégé-2000 framework), Common allows a Knowledge Engineering (i) to build competency reference systems related to particular domains such as Healthcare or Information and Telecommunication, (ii) to identify and formally represent competency profiles (related to a job seeker, a job offer or a training offer) and (iii) to automatically match competency profiles. Developed in the context of Semantic Web Technology, the CommOn framework permits the building of domain ontologies and knowledge bases represented with Semantic Web Languages and the development of Competency-Based Web Services dedicated to Human Resources Management. The use of CommOn is illustrated in the context of a project (related to e-recruitment) which aims at developing the first Macedonian web-based platform dedicated to the definition of an efficient networking of employment and training operators. However, Common is not limited to e-recruitment application and it can be used for different purposes such as staff development and deployment, job analysis or economic evaluation.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.

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© 2006 Springer-Verlag Berlin Heidelberg

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Radevski, V., Trichet, F. (2006). Ontology-Based Systems Dedicated to Human Resources Management: An Application in e-Recruitment. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_9

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  • DOI: https://doi.org/10.1007/11915072_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48273-4

  • Online ISBN: 978-3-540-48276-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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