Topical web crawling for domain-specific resource discovery enhanced by selectively using link-context
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 2 (31 Mar. 2015)9 p.
Publisher
Publication Date
2015-03-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
To enable topical Web crawling, link-context is the critical contextual information of anchor text for retrieving domain-specific resources.
While some link-contexts may misguide topical Web crawling and extract wrong Web pages, because several relevant anchor texts become irrelevant or several irrelevant anchor texts become relevant after calculating the relevance between the link-contexts and the feature terms of the specific topic.
In view of above, this paper presents a heuristic-based approach by selectively using link-context and implements DOM tree to locate the anchor text.
Unlike previous crawling algorithms, which only zero in on link-context and ignore whether it is really needed or not? Our method cares both link-context and evaluating its necessity to correctly use link-context to guide topical crawling.
Accordingly, our topical crawler can retrieve more relevant Web pages.
Experimental results indicate that this approach outperforms breadthfirst, best-first, anchor text only, link-context both in harvest rate and target recall.
American Psychological Association (APA)
Liu, Lu& Peng, Tao& Zuo, Wanli. 2015. Topical web crawling for domain-specific resource discovery enhanced by selectively using link-context. The International Arab Journal of Information Technology،Vol. 12, no. 2.
https://search.emarefa.net/detail/BIM-368881
Modern Language Association (MLA)
Liu, Lu…[et al.]. Topical web crawling for domain-specific resource discovery enhanced by selectively using link-context. The International Arab Journal of Information Technology Vol. 12, no. 2 (Mar. 2015).
https://search.emarefa.net/detail/BIM-368881
American Medical Association (AMA)
Liu, Lu& Peng, Tao& Zuo, Wanli. Topical web crawling for domain-specific resource discovery enhanced by selectively using link-context. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 2.
https://search.emarefa.net/detail/BIM-368881
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-368881