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Exploiting Interclass Rules for Focused Crawling
November/December 2004 (vol. 19 no. 6)
pp. 66-73
| ASCII Text | x | ||
| Ismail Seng? Alting?vde, ?zg? Ulusoy, "Exploiting Interclass Rules for Focused Crawling," IEEE Intelligent Systems, vol. 19, no. 6, pp. 66-73, November/December, 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2004.62, author = {Ismail Seng? Alting?vde and ?zg? Ulusoy}, title = {Exploiting Interclass Rules for Focused Crawling}, journal ={IEEE Intelligent Systems}, volume = {19}, number = {6}, issn = {1541-1672}, year = {2004}, pages = {66-73}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2004.62}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Exploiting Interclass Rules for Focused Crawling IS - 6 SN - 1541-1672 SP66 EP73 EPD - 66-73 A1 - Ismail Seng? Alting?vde, A1 - ?zg? Ulusoy, PY - 2004 KW - focused Web crawling KW - tunneling KW - rule extraction KW - Web mining KW - na?ve Bayesian classification VL - 19 JA - IEEE Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2004.62
A focused crawler is an agent that concentrates on a particular target topic and tries to visit and gather only relevant pages from the Web. A crucial issue for a focused crawler is the underlying heuristic for deciding the page to visit next. The authors propose a rule-based approach to improve a baseline focused crawler's harvest rate and coverage. The baseline focused crawler employs a canonical topic taxonomy to train a na?ve-Bayesian classifier, which then helps score unseen URLs. The authors explore using simple rules derived from interclass (topic) linkage patterns to decide the crawler's next move. The rule-based approach also enhances the baseline crawler in supporting tunneling. In initial performance results, the rule-based crawler improved the harvest rate and coverage of the baseline crawler.
Index Terms:
focused Web crawling, tunneling, rule extraction, Web mining, na?ve Bayesian classification
Citation:
Ismail Seng? Alting?vde, ?zg? Ulusoy, "Exploiting Interclass Rules for Focused Crawling," IEEE Intelligent Systems, vol. 19, no. 6, pp. 66-73, Nov.-Dec. 2004, doi:10.1109/MIS.2004.62
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