Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework

Akkharawoot Takhom, Sasiporn Usanavasin, Thepchai Supnithi, Mitsuru Ikeda, Heinz Ulrich Hoppe and Prachya Boonkwan
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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

International Journal of Knowledge and Systems Science (IJKSS), 2020, vol. 11, issue 2, 1-19

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.

Date: 2020
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