Using Formal Concept Analysis for Ontology Maintenance in Human Resource Recruitment

Ontologies have been proven useful for many appli-cations 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 ef-fectiveness of the job recruitment process. However, the quality of semantic search and decision making in-timately 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 ade-quately enriched with detailed domain-specific knowl-edge and adapted to the particular needs of individual job markets. We present an approach for enriching and adapting an existing ontology using formal con-cept analysis.