ABSTRACT
Automatically finding suitable candidates in an organization to compose a team able to solve a given task is a typical problem in large companies. In this paper we present a Description Logics approach to Team Composition based on candidates technical knowledge and on tasks descriptions, modeled according to a skills ontology in ALE(D). The novelty of our approach is that our implemented service exploits standard-SQL querying expressiveness to emulate the proper reasoning procedures. The Team Composition service has been deployed as part of I.M.P.A.K.T., a skill management system, and results show the effectiveness of the proposed approach.
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Index Terms
- Knowledge compilation for automated Team Composition exploiting standard SQL
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