Automating competence management through non-standard reasoning

Competence management calls for automated knowledge-based services in order to take full advantage from the know-how of a company. This paper presents an integrated semantic-based knowledge management system providing decision support services for several activities typical of competence management, including core competence evaluation, human resources allocation, training programs planning. Knowledge resources are represented according to the formalism of Description Logics, which also allows for inference services crucial for the implemented solutions. We present the various features of our approach, which exploit advanced non-standard reasoning services from Description Logics, specifically developed to support knowledge management.

► We propose an ontology-based system for competence management.
► The system supports recruiting of both single and multiple jobs and of teams.
► The system supports core competence and ad-hoc training programs identification.
► The solving approach relies on description logics formalism and reasoning services.
► Non-standard inferences are exploited for an innovative explanation of solutions.