Knowledge Engineering Technique for Cluster Development

Provided by: CNRS
Topic: Big Data
Format: PDF
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. This paper is about enhancing the industry cluster with knowledge management by using knowledge engineering which is one of the most important methods for managing knowledge. In this paper, the authors analyzed three well known knowledge engineering methods, i.e. MOKA, SPEDE and CommonKADS, and compare the capability to be implemented in the cluster context.

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