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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Luo, N., Zuo, W., Yuan, F., Zhang, C. (2006). A New Method for Focused Crawler Cross Tunnel. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_92
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DOI: https://doi.org/10.1007/11795131_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36297-5
Online ISBN: 978-3-540-36299-9
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