JUCS - Journal of Universal Computer Science 10(6): 723-730, doi: 10.3217/jucs-010-06-0723
Semantic-based Approach to Task Assignment of Individual Profiles
expand article infoSimona Colucci‡, Tommaso Di Noia‡, Eugenio Di Sciascio‡, Francesco M. Donini§, Marina Mongiello‡, Giacomo Piscitelli‡
‡ Politecnico di Bari, Bari, Italy§ Universita della Tuscia, Viterbo, Italy

Corresponding author: Simona Colucci ( s.colucci@poliba.it )

© Simona Colucci, Tommaso Noia, Eugenio Di Sciascio, Francesco Donini, Marina Mongiello, Giacomo Piscitelli.
This article is freely available under the J.UCS Open Content License.
Citation: Colucci S, Noia TD, Di Sciascio E, Donini FM, Mongiello M, Piscitelli G (2004) Semantic-based Approach to Task Assignment of Individual Profiles. JUCS - Journal of Universal Computer Science 10(6): 723-730. https://doi.org/10.3217/jucs-010-06-0723
Open Access
Abstract
This paper is focused on the problem of skill matching in an organizational context. We endow the classical weighted bipartite graph approach with a semantic based assignment of arcs weight and we describe a skill matching system implementing the approach. The system takes curricula and project specifications as inputs and extracts from them individual profiles respectively offered and requested, according to an ontology modeling skill management context. The suitability of each available individual to each task to assign is evaluated based on an algorithm whose returned scores are used as arc weights. As a result the semantics of profile descriptions is taken into account in the assignment process.
Keywords
skill matching, knowledge elicitation, Description Logics