A Semantic Analysis Method for Concept Map-based Knowledge Modeling

DOI

10.2991/icebi.2010.19How to use a DOI?

Keywords

Concept map, analysis, knowledge modeling

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.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jin-Xing Hao
AU  - Angela Yan
AU  - Ron Chi-Wai
PY  - 2010/12
DA  - 2010/12
TI  - A Semantic Analysis Method for Concept Map-based Knowledge Modeling
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 117
EP  - 123
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.19
DO  - 10.2991/icebi.2010.19
ID  - Hao2010/12
ER  -