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An Ontology-based Knowledge Management System for Industry Clusters

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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)

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.

Suggested Citation

  • Pradorn Sureephong & Nopasit Chakpitak & Yacine Ouzrout & Abdelaziz Bouras, 2008. "An Ontology-based Knowledge Management System for Industry Clusters," Post-Print hal-00284594, HAL.
    • Handle: RePEc:hal:journl:hal-00284594
    Note: View the original document on HAL open archive server: https://hal.science/hal-00284594
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    References listed on IDEAS

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    1. Anders Malmberg & Dominic Power, 2005. "(How) Do (Firms in) Clusters Create Knowledge?," Industry and Innovation, Taylor & Francis Journals, vol. 12(4), pages 409-431.
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    Cited by:

    1. Maryam Barzegar & Abolghasem Sadeghi-Niaraki & Maryam Shakeri & Soo-Mi Choi, 2019. "An Improved Route-Finding Algorithm Using Ubiquitous Ontology-Based Experiences Modeling," Complexity, Hindawi, vol. 2019, pages 1-15, November.
    2. Huasheng Zhu & Kelly Wanjing Chen & Juncheng Dai, 2016. "Beyond Apprenticeship: Knowledge Brokers and Sustainability of Apprentice-Based Clusters," Sustainability, MDPI, vol. 8(12), pages 1-17, December.

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