An Ontology-based Knowledge Management System for Industry Clusters

Pradorn Sureephong (), Nopasit Chakpitak (), Yacine Ouzrout () and Abdelaziz Bouras ()
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Pradorn Sureephong: LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées, CAMT - College of Arts, Media and Technology - CMU - Chiang Mai University
Nopasit Chakpitak: CAMT - College of Arts, Media and Technology - CMU - Chiang Mai University
Yacine Ouzrout: LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Abdelaziz Bouras: LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées

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Abstract: Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case study to illustrate our proposed methodology.

Keywords: Ontology; Knowledge Management System; Industry Clusters (search for similar items in EconPapers)
Date: 2008-01-15
Note: View the original document on HAL open archive server: https://hal.science/hal-00284594
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Citations: View citations in EconPapers (2)

Published in International Conference on Advanced Design and Manufacture (ICADAM 2008), Jan 2008, Sanya, China

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