Journal
ENTERPRISE INFORMATION SYSTEMS
Volume 4, Issue 1, Pages 1-22Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/17517570903502856
Keywords
e-business; business intelligence; business information; Web; query expansion; WordNet; term co-occurrence; search engine
Categories
Funding
- University Research Committee [RG066/07-085/09R/GZG/FST]
- Macau Government [044/2006/A]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available