Proceedings of the 2016 International Forum on Management, Education and Information Technology Application

A New Semantic Similarity Measurement Based on HowNet Concept Tree

Authors
Xiaohua Guo, Xinhua Zhu, Fei Li, Qi Li
Corresponding Author
Xiaohua Guo
Available Online January 2016.
DOI
https://doi.org/10.2991/ifmeita-16.2016.132How to use a DOI?
Keywords
Concept Tree, HowNet, Semantic Similarity, Path, Depth.
Abstract
This paper puts forward a new depth & path-based semantic similarity method to improve the existing meaning-based approaches in HowNet. Firstly, a complete concept tree is constructed on the sememe tree according to the concept definitions in HowNet. Then an improved depth & path algorithm was put forward, in which five adjustable parameters are used to compute the depth and path of concept in concept tree. This method avoids the computation process of complicated meaning similarity and is more intuitive and efficient. The experiment shows that proposed algorithm has achieved an excellent level comparing with the existing word similarity algorithms.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Forum on Management, Education and Information Technology Application
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
978-94-6252-166-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/ifmeita-16.2016.132How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaohua Guo
AU  - Xinhua Zhu
AU  - Fei Li
AU  - Qi Li
PY  - 2016/01
DA  - 2016/01
TI  - A New Semantic Similarity Measurement Based on HowNet Concept Tree
BT  - 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.132
DO  - https://doi.org/10.2991/ifmeita-16.2016.132
ID  - Guo2016/01
ER  -