期刊
ENTERPRISE INFORMATION SYSTEMS
卷 4, 期 1, 页码 1-22出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/17517570903502856
关键词
e-business; business intelligence; business information; Web; query expansion; WordNet; term co-occurrence; search engine
资金
- University Research Committee [RG066/07-085/09R/GZG/FST]
- Macau Government [044/2006/A]
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.
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