Semantic-based automated evaluation of company core competence

Core Competence evaluation is crucial for strategical choices in knowledge intensive companies. Such a process is usually manually performed by the management on the basis of subjective criteria, which can then cause non-optimal decisions, especially in wide companies. We propose here a semantic-based approach for the automatic evaluation of Core Competence, exploiting novel reasoning services in Description Logics, extracting commonalities in a collection of resource descriptions. Such inferences aim at identifying features shared at least by a significant portion of a collection of professional profiles formalized in accordance with a logic language. We are in fact not necessarily interested in competence shared by the whole company personnel.