DocumentCode
2774585
Title
A New Strategy of Query Expansion using Formal Concept Analysis
Author
Hai, Yufeng ; Du, Yajun ; Li, Haiming
Author_Institution
Xihua University, China
fYear
2006
fDate
Sept. 2006
Firstpage
34
Lastpage
34
Abstract
One of the most important tasks of search engine is presenting more additional relevant web pages and reducing those web pages which are useless for user. Query expansion is an efficient method for this. In this paper, a new strategy of expanding query terms based on formal concept analysis was proposed. In this strategy basic rules and extended rules are mined from concept lattice which is built from lower adjacency set of user¿s requirements for query expansion. By matching between terms of web pages of upper adjacency set and association rules, search engine can return web pages to user much better. There is no need to scan all nodes of lattice, and search engine can provide more additional relevant web pages and reduce useless web pages to user with an effective way.
Keywords
Association rules; Data mining; Databases; Forestry; Information analysis; Information science; Knowledge representation; Lattices; Search engines; Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology, 2006. CIT '06. The Sixth IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
0-7695-2687-X
Type
conf
DOI
10.1109/CIT.2006.18
Filename
4019856
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