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Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework

Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework

Akkharawoot Takhom, Sasiporn Usanavasin, Thepchai Supnithi, Mitsuru Ikeda, Heinz Ulrich Hoppe, Prachya Boonkwan
Copyright: © 2020 |Volume: 11 |Issue: 2 |Pages: 19
ISSN: 1947-8208|EISSN: 1947-8216|EISBN13: 9781799807186|DOI: 10.4018/IJKSS.2020040101
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MLA

Takhom, Akkharawoot, et al. "Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework." IJKSS vol.11, no.2 2020: pp.1-19. http://doi.org/10.4018/IJKSS.2020040101

APA

Takhom, A., Usanavasin, S., Supnithi, T., Ikeda, M., Hoppe, H. U., & Boonkwan, P. (2020). Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework. International Journal of Knowledge and Systems Science (IJKSS), 11(2), 1-19. http://doi.org/10.4018/IJKSS.2020040101

Chicago

Takhom, Akkharawoot, et al. "Discovering Cross-Disciplinary Concepts in Multidisciplinary Context Through Collaborative Framework," International Journal of Knowledge and Systems Science (IJKSS) 11, no.2: 1-19. http://doi.org/10.4018/IJKSS.2020040101

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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.

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