Knowledge based approach to semantic composition of teams in an organization

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. Categories and Subject Descriptors H.4.2 [Information Systems Applications]: Decision Support; I.2.4 [Knowledge Representation Formalisms and Methods]: Representation languages General Terms Algorithms, Languages, Economics Keywords Concept Coveri...

• Type: Conference
• Year: 2005
• Where: SAC
• Authors: Simona Colucci, Tommaso Di Noia, Eugenio Di Sciascio, Francesco M. Donini, Giacomo Piscitelli, Stefano Coppi
• Keywords: Applied Computing, Concept Abduction, Description Logics, SAC 2005, Task Descriptions