A Formal Approach to Ontology-Based Semantic Match of Skills Descriptions
Simona Colucci (Politecnico di Bari, Italy)
Tommaso Di Noia (Politecnico di Bari, Italy)
Eugenio Di Sciascio (Politecnico di Bari, Italy)
Francesco M. Donini (Universita della Tuscia, Italy)
Marina Mongiello (Politecnico di Bari, Italy)
Marco Mottola (Accenture, Italy)
Abstract: Skills management has been recently acknowledged as one of the key factors to adequately face the increasing competitiveness between knowledge intensive companies.
In this paper we present a formal approach to Ontology-Based Semantic Matchmaking between Skills demand and supply, devised as a virtual marketplace of knowledge. In such a knowledge market metaphor, skills are a peculiar kind of good that has distinguishing characteristics with respect to traditional assets. Buyers are entities that need the skills of people, such as projects, departments and organizations, sellers are workers that offer their own skills.
The formal framework supports the semantic match of descriptions provided by demanders and sellers of skills. In particular our approach, based on Description Logics formalization and reasoning, overcomes simple subsumption matching and allows match ranking and categorization. The implementation of the approach in a prototype system, which embeds a NeoClassic reasoner, is also described.
Keywords: knowledge representation, matchmaking, ontologies, skill management
Categories: I.2.4, K.6.1