An Ontology-Based Modeling Approach for Developing a Competencies-Oriented Collective Intelligence

Mihaela Brut (1, 2) , Florence Sèdes (1) , Toader Jucan (2) , Romulus Grigoras (3) , Vincent Charvillat (4)

1 IRIT-SIG - Systèmes d’Informations Généralisées
2 UAIC - Alexandru Ioan Cuza University of Iași = Universitatea Alexandru Ioan Cuza din Iași
3 IRIT-VORTEX - Visual Objects from Reality To Expression
4 IRIT-REVA - Real Expression Artificial Life

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.

Mots clés: Ontology-based annotation; user modeling; knowledge sharing; information retrieval; E-Learning

Domaines: Réseaux sociaux et d'information [cs.SI]

Mihaela Brut, Florence Sèdes, Toader Jucan, Romulus Grigoras, Vincent Charvillat. An Ontology-Based Modeling Approach for Developing a Competencies-Oriented Collective Intelligence. 20th IFIP World Computer Congress, TC 3 (WCC 2008), https://link.springer.com/chapter/10.1007/978-0-387-09729-9_33, Sep 2008, Milano, Italy. pp.219-222, ⟨10.1007/978-0-387-09729-9_33⟩. ⟨hal-03771537⟩