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A Comparative Study on Self Adaptive Semantic Focused Crawler and Novel Focused Cell like Membrane Computing Crawler
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 112 - Number 9 |
| Year of Publication: 2015 |
| Authors: S.gunasekaran, M.anisha, P.r.joe Dhanith |
10.5120/19693-1448
|
S.gunasekaran, M.anisha, P.r.joe Dhanith . A Comparative Study on Self Adaptive Semantic Focused Crawler and Novel Focused Cell like Membrane Computing Crawler. International Journal of Computer Applications. 112, 9 ( February 2015), 12-18. DOI=10.5120/19693-1448
Abstract
World Wide Web is a repository containing an enormous amount of documents and hyperlinked documents. The information on the web is shared based on the user interest. The search through these documents considers the user query and retrieves documents that are related. Traditionally the search engine includes three operations such as searching, indexing and downloading. Among the three operations downloading is the most important one, where few thousands of web pages are downloading with the respect to the user query. This leads to a known problem called information kill where the user looks up only few results and turns away from others. Thus to avoid problem of downloading lot of web pages several crawlers are designed that improves the efficiency of crawling specific documents. Two crawlers namely Self adaptive Semantic Focussed and Cell Membrane Computing Focussed Crawler has been studied with comparison.
References
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