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. © 2012 ACM.
Knowledge compilation for automated team composition exploiting standard SQL / Tinelli, Eufemia; Colucci, Simona; DI SCIASCIO, Eugenio; Donini, Francesco M.. - (2012), pp. 1680-1685. (Intervento presentato al convegno 27th Annual ACM Symposium on Applied Computing, SAC 2012 tenutosi a Trento, Italy nel March 26-30, 2012) [10.1145/2245276.2232047].
Knowledge compilation for automated team composition exploiting standard SQL
TINELLI, Eufemia;COLUCCI, Simona;DI SCIASCIO, Eugenio;
2012-01-01
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. © 2012 ACM.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
