Knowledge based approach to semantic composition of teams in an organization

  • Authors:
  • S. Colucci;T. Di Noia;E. Di Sciascio;F. M. Donini;G. Piscitelli;S. Coppi

  • Affiliations:
  • Università della Tuscia via San Carlo, Viterbo, Italy;Università della Tuscia via San Carlo, Viterbo, Italy;Università della Tuscia via San Carlo, Viterbo, Italy;Università della Tuscia via San Carlo, Viterbo, Italy;Università della Tuscia via San Carlo, Viterbo, Italy;Università della Tuscia via San Carlo, Viterbo, Italy

  • Venue:
  • Proceedings of the 2005 ACM symposium on Applied computing
  • Year:
  • 2005

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Abstract

Finding rapidly suitable experts in an organization to compose a team able to solve specific tasks is a typical problem in large consulting firms. In this paper we present a Description Logics approach to the semantic-based composition of ad-hoc teams based on individuals skill profiles and on task description. The selection process is carried out using a novel Concept Covering algorithm that exploits the recently proposed Concept Abduction inference service in Description Logics. The approach has been deployed as part of a skill management system that takes text files with curricula and project specifications as inputs and extracts from them available individual profiles and task descriptions, according to an ontology modeling skills.