Using formal concept analysis for ontology maintenance in human resource recruitment

  • Authors:
  • Dominic Looser;Hui Ma;Klaus-Dieter Schewe

  • Affiliations:
  • Software Competence Center Hagenberg, Austria;Victoria University of Wellington, Wellington, New Zealand;Software Competence Center Hagenberg, Austria

  • Venue:
  • APCCM '13 Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling - Volume 143
  • Year:
  • 2013

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Abstract

Ontologies have been proven useful for many applications by enabling semantic search and reasoning. Human resource management has recently attracted interest by researchers and practitioners seeking to exploit ontologies for improving the efficiency and effectiveness of the job recruitment process. However, the quality of semantic search and decision making intimately depends on the quality of the ontology used. Most current efforts concentrate on the development of general ontologies that find wide approval by the HR community worldwide. In order to be useful for automatic matchmaking between job offers and job seekers, such high-level ontologies need to be adequately enriched with detailed domain-specific knowledge and adapted to the particular needs of individual job markets. We present an approach for enriching and adapting an existing ontology using formal concept analysis.