Authors:
Yewon Jeong
;
Yiyeon Yoon
;
Dongkyu Jeon
;
Youngsang Cho
and
Wooju Kim
Affiliation:
Yonsei University, Korea, Republic of
Keyword(s):
Query Expansion, Formal Concept Analysis, Semantic Similarity, Keyword-based Web Documents.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
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.
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