Using formal concept analysis for ontology maintenance in human resource recruitment
|Autoren|| Dominic Looser|
|Titel||Using formal concept analysis for ontology maintenance in human resource recruitment|
|Buchtitel||Proceedings of the 9th Asia-Pacific Conference on Conceptual Modelling (APCCM 2013)|
|Verlag||Australian Computer Society|
|Serie||CRPIT - Conferences in Research and Practice in Information Technology|
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.