Knowledge Engineering Technique for Cluster Development

Pradorn Sureephong (1, 2) , Nopasit Chakpitak (2) , Yacine Ouzrout (1) , Gilles Neubert (1) , Abdelaziz Bouras (1)

1 LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production
2 CAMT - College of Arts, Media and Technology

After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key success factors of the cluster are knowledge sharing and collaboration between partners. This knowledge is collected in form of tacit and explicit knowledge from experts and institutions within the cluster. The objective of this study is about enhancing the industry cluster with knowledge management by using knowledge engineering which is one of the most important method for managing knowledge. This work analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and CommonKADS, and compares the capability to be implemented in the cluster context. Then, we selected one method and proposed the adapted methodology. At the end of this paper, we validated and demonstrated the proposed methodology with some primary result by using case study of handicraft cluster in Thailand.

Mots clés: Knowledge Engineering; Industry Cluster; CommonKADS; Knowledge Management System

Domaines: Architectures Matérielles [cs.AR]; Autre [cs.OH]; Economies et finances

Pradorn Sureephong, Nopasit Chakpitak, Yacine Ouzrout, Gilles Neubert, Abdelaziz Bouras. Knowledge Engineering Technique for Cluster Development. Knowledge Science, Engineering and Management (KSEM 07), Nov 2007, Melbourne, Australia. pp.xx-xx. ⟨hal-00196472⟩