Title :
A Web Information Retrieval Optimization Based on Fuzzy Similarity Rough Sets
Author_Institution :
Shenyang Polytech. Coll., Shenyang, China
Abstract :
The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed information from vast number of web pages. In this paper, we propose a method mapping the user´s requirements to web communities based on fuzzy rough sets. It could help to advance the Web information searching technology.
Keywords :
Internet; fuzzy set theory; information retrieval; optimisation; rough set theory; Internet; Web communities; Web information retrieval optimization; Web information searching technology; fuzzy similarity rough sets; user requirements mapping; Educational institutions; Entropy; Fuzzy sets; Information analysis; Information retrieval; Internet; Rough sets; Scattering; Search engines; Web pages; Fuzzy classification; Fuzzy rough sets; Link analysis; Similarity; Web information retrieval;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.341
