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Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework

Author

Listed:
  • Akkharawoot Takhom

    (Japan Advanced Institute of Science and Technology, Nomi, Japan)

  • Sasiporn Usanavasin

    (Sirindhorn International Institute of Technology, Khlong Nueng, Thailand)

  • Thepchai Supnithi

    (National Electronics and Computer Technology Center, Khlong Nueng, Thailand)

  • Mitsuru Ikeda

    (Japan Advanced Institute of Science and Technology, Nomi, Japan)

  • Heinz Ulrich Hoppe

    (University of Duisburg-Essen, Duisburg, Germany)

  • Prachya Boonkwan

    (National Electronics and Computer Technology Center, Khlong, Nueng, Thailand)

Abstract

When domain experts try to find a business solution, ambiguous terms arise within the context of discussion in a multidisciplinary research group. Different meanings and relationships with various concepts cause ambiguous semantics. This research aims to address complex business problems in a collaborative research group. This approach presents a collaborative framework based on network text analysis for detecting cross-disciplinary concepts in a multidisciplinary context. The framework recognizes ambiguous concepts (common terms presented in multiple domain knowledge), and these terms are visualized as a network. A case study of sustainable development demonstrates the identification of a set of cross-disciplinary concepts and their relationships across different domains. The main contributions are providing a framework to detect essential concepts that contain the cross-disciplinary concepts and recognize the understanding of multidisciplinary knowledge in the discussion context.

Suggested Citation

  • Akkharawoot Takhom & Sasiporn Usanavasin & Thepchai Supnithi & Mitsuru Ikeda & Heinz Ulrich Hoppe & Prachya Boonkwan, 2020. "Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 11(2), pages 1-19, April.
    • Handle: RePEc:igg:jkss00:v:11:y:2020:i:2:p:1-19
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    Cited by:

    1. Waranyoo Thippo & Chorkaew Jaturanonda & Sorawit Yaovasuwanchai & Charoenchai Khompatraporn & Teeradej Wuttipornpun & Kulwara Meksawan, 2024. "Multi-Objective Job Rotation in Rice Seed Harvesting With Equitable Injury Risk and Cost Allocation," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 15(1), pages 1-28, January.

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