e-space
Manchester Metropolitan University's Research Repository

Business information query expansion through semantic network

Gong, Zhiguo and Muyeba, Maybin and Guo, Jingzhi (2010) Business information query expansion through semantic network. Enterprise information systems, 4 (1). pp. 1-22. ISSN 1751-7583

Full text not available from this repository.

Abstract

In this article, we propose a method for business information query expansions. In our approach, hypernym/hyponymy and synonym relations in WordNet are used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest terms in the WordNet hierarchies with hypernym and synonym, the lowest terms with hyponym and synonym and all other terms with only synonym. In this way, the contradictory caused by full expansion can be well controlled. Furthermore, we use collection-related term semantic network to further improve the expansion performance. And our experiment reveals that our solution for query expansion can improve the query performance dramatically.

Impact and Reach

Statistics

Downloads
Activity Overview
0Downloads
198Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

Edit Item Edit Item