A Knowledge-based Solution for Core Competence Evaluation in Human-Capital Intensive Companies

Determining fields of excellence in the know-how of knowledge intensive companies is often a crucial decisional process, aimed e.g., at identifying the competence to be strength- ened or to invest on in a long term strategy. In this paper we propose a semantic-based approach for automatic extraction of such a specializing knowledge, usually called Core Competence in knowledge management literature. The proposed approach exploits Description Logics as for- malism for the representation of knowledge sources and implements novel reasoning services, in particular informative common subsumers specifically devised for Core Competence evaluation.