An ontology-based modeling approach for developing a competencies-oriented collective intelligence

Abstract

Expressing the user competences through domain ontology concepts is a prerogative for developing well managed and semantically enriched user profiles, transferable from a system to another. If, supplementary, the available documents are also ontology-based annotated, the add-on value will concern not only the document semantics, but also the relations and dependencies between users and documents. In such approach, the ontology constitutes the binder between peoples, as well as between peoples and documents, and also between documents. Its reasoning support sustains the development of a collective intelligence, as well as the most suitable knowledge sharing, according to the users common competencies. In this article we present such modeling approach, and also some methods for user and document model development, as well as the advantages for personalized and collaborative facilities. © 2008 International Federation for Information Processing.