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.
|Titolo:||Knowledge based approach to semantic composition of teams in an organization|
|Data di pubblicazione:||2005|
|Nome del convegno:||20th Annual ACM Symposium on Applied Computing, SAC '05|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1145/1066677.1066974|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|