A Methodology to Measure the Semantic Similarity between Words based on the Formal Concept Analysis

Yewon Jeong, Yiyeon Yoon, Dongkyu Jeon, Youngsang Cho, Wooju Kim

2014

Abstract

Recently, web users feel difficult to find the desired information on the internet despite a lot of useful information since it takes more time and effort to find it. In order to solve this problem, the query expansion is considered as a new alternative. It is the process of reformulating a query to improve retrieval performance in information retrieval operations. Although there are a few techniques of query expansion, synonym identification is one of them. Therefore, this paper proposes the method to measure the semantic similarity between two words by using the keyword-based web documents. The formal concept analysis and our proposed expansion algorithm are used to estimate the similarity between two words. To evaluate the performance of our method, we conducted two experiments. As the results, the average of similarity between synonym pairs is much higher than random pairs. Also, our method shows the remarkable performance in comparison with other method. Therefore, the suggested method in this paper has the contribution to find the synonym among a lot of candidate words.

Paper Citation

in Harvard Style

Jeong Y., Yoon Y., Jeon D., Cho Y. and Kim W. (2014). A Methodology to Measure the Semantic Similarity between Words based on the Formal Concept Analysis . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-024-6, pages 313-321. DOI: 10.5220/0004855603130321

in Bibtex Style

@conference{webist14,
author={Yewon Jeong and Yiyeon Yoon and Dongkyu Jeon and Youngsang Cho and Wooju Kim},
title={A Methodology to Measure the Semantic Similarity between Words based on the Formal Concept Analysis},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2014},
pages={313-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004855603130321},
isbn={978-989-758-024-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - A Methodology to Measure the Semantic Similarity between Words based on the Formal Concept Analysis
SN - 978-989-758-024-6
AU - Jeong Y.
AU - Yoon Y.
AU - Jeon D.
AU - Cho Y.
AU - Kim W.
PY - 2014
SP - 313
EP - 321
DO - 10.5220/0004855603130321