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A New Method for Focused Crawler Cross Tunnel.

Authors :
Guoying Wang
Peters, James F.
Skowron, Andrzej
Yiyu Yao
Na Luo
Wanli Zuo
Fuyu Yuan
Changli Zhang
Source :
Rough Sets & Knowledge Technology; 2006, p632-637, 6p
Publication Year :
2006

Abstract

Focused crawlers are programs designed to selectively retrieve Web pages relevant to a specific domain for the use of domain-specific search engines. Tunneling is a heuristic-based method that solves global optimization problem. In this paper we use content block algorithm to enhance focused crawler's ability of traversing tunnel. The novel Algorithm not only avoid granularity too coarse when evaluation on the whole page but also avoid granularity too fine based on link-context. A comprehensive experiment has been conducted, the result shows obviously that this approach outperforms BestFirst and Anchor text algorithm both in harvest ratio and efficiency. Keywords: Focused crawler, content block, anchor text, local relevance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540362975
Database :
Complementary Index
Journal :
Rough Sets & Knowledge Technology
Publication Type :
Book
Accession number :
33001874
Full Text :
https://doi.org/10.1007/11795131_92