title: |
A Semantic Analysis Method for Concept Map-based Knowledge Modeling |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-40-6 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/icebi.2010.19 (how to use a DOI) | |
author(s): |
Jin-Xing Hao, Angela Yan, Ron Chi-Wai |
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publication date: |
December 2010 |
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keywords: |
Concept map, analysis, knowledge modeling |
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abstract: |
Semantic analysis of a concept map plays an important role in translating human knowledge in the form of concept maps into rigorous and unambiguous representations for further processing by computers. However, recent research limits in the literal analysis of concept labels and concept relatedness that is derived from the structure of concept maps. In this study, we propose and evaluate a semantic analysis method which incorporates a formal representation of a concept map and WordNet-based algorithms to compute semantic similarity. As a fundamental element of knowledge modeling, the work presented in the study implies important contributions in business intelligence research and practice. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |