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Collaborative Ontology Development Approach for Multidisciplinary Knowledge: A Scenario-Based Knowledge Construction System in Life Cycle Assessment
Akkharawoot TAKHOM Sasiporn USANAVASIN Thepchai SUPNITHI Mitsuru IKEDA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/04/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support)
Category: Knowledge Representation
sematic web, ontology-based knowledge management, collaborative framework, multidisciplinary ontology development, life cycle assessment,
Full Text: PDF(3.3MB)>>
Creating an ontology from multidisciplinary knowledge is a challenge because it needs a number of various domain experts to collaborate in knowledge construction and verify the semantic meanings of the cross-domain concepts. Confusions and misinterpretations of concepts during knowledge creation are usually caused by having different perspectives and different business goals from different domain experts. In this paper, we propose a community-driven ontology-based application management (CD-OAM) framework that provides a collaborative environment with supporting features to enable collaborative knowledge creation. It can also reduce confusions and misinterpretations among domain stakeholders during knowledge construction process. We selected one of the multidisciplinary domains, which is Life Cycle Assessment (LCA) for our scenario-based knowledge construction. Constructing the LCA knowledge requires many concepts from various fields including environment protection, economic development, social development, etc. The output of this collaborative knowledge construction is called MLCA (multidisciplinary LCA) ontology. Based on our scenario-based experiment, it shows that CD-OAM framework can support the collaborative activities for MLCA knowledge construction and also reduce confusions and misinterpretations of cross-domain concepts that usually presents in general approach.