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

doi:10.1587/transinf.2016IIP0028

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

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E101-D No.4 pp.892-900

Publication Date: 2018/04/01

Publicized: 2018/01/19

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2016IIP0028

Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support)

Category: Knowledge Representation

Authors

Akkharawoot TAKHOM
  Japan Advanced Institute of Science and Technology,Sirindhorn International Institute of Technology
Sasiporn USANAVASIN
  Sirindhorn International Institute of Technology
Thepchai SUPNITHI
  National Electronics and Computer Technology Center
Mitsuru IKEDA
  Japan Advanced Institute of Science and Technology

Keyword

sematic web, ontology-based knowledge management, collaborative framework, multidisciplinary ontology development, life cycle assessment

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Akkharawoot TAKHOM, Sasiporn USANAVASIN, Thepchai SUPNITHI, Mitsuru IKEDA, "Collaborative Ontology Development Approach for Multidisciplinary Knowledge: A Scenario-Based Knowledge Construction System in Life Cycle Assessment" in IEICE TRANSACTIONS on Information, vol. E101-D, no. 4, pp. 892-900, April 2018, doi: 10.1587/transinf.2016IIP0028.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016IIP0028/_p

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@ARTICLE{e101-d_4_892,
author={Akkharawoot TAKHOM, Sasiporn USANAVASIN, Thepchai SUPNITHI, Mitsuru IKEDA, },
journal={IEICE TRANSACTIONS on Information},
title={Collaborative Ontology Development Approach for Multidisciplinary Knowledge: A Scenario-Based Knowledge Construction System in Life Cycle Assessment},
year={2018},
volume={E101-D},
number={4},
pages={892-900},
abstract={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.},
keywords={},
doi={10.1587/transinf.2016IIP0028},
ISSN={1745-1361},
month={April},}

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TY - JOUR
TI - Collaborative Ontology Development Approach for Multidisciplinary Knowledge: A Scenario-Based Knowledge Construction System in Life Cycle Assessment
T2 - IEICE TRANSACTIONS on Information
SP - 892
EP - 900
AU - Akkharawoot TAKHOM
AU - Sasiporn USANAVASIN
AU - Thepchai SUPNITHI
AU - Mitsuru IKEDA
PY - 2018
DO - 10.1587/transinf.2016IIP0028
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2018
AB - 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.
ER -