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Content based smart crawler for efficiently harvesting deep web interface
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rajendra, Boob Rupal Vishnu, Dhole Saburi Sarjerao, Burkul Suvarna Lasagne, Avhad Dipika Aher, T. P. |
| Copyright Year | 2017 |
| Abstract | Now a days deep web grows at a very fast pace, with the help of this there has been greater increased interest in techniques that help e_ciently locate deep-web interfaces. However, because of this large volume of web resources and the dynamic nature of deep web achieving wide coverage and high efficiency is a challenging issue.In this we propose a two- stage framework, namely Smart Crawler, for efficient harvesting deep web interfaces.In the first stage, for a center pages Smart Crawler performs site-based searching with the help of search engines,it avoiding visiting a large number of pages.for a focused crawl to achieve more accurate results for Smart Crawler ranks websites to prioritize highly relevant ones for a given topic. In the second stage, Smart Crawler achieves fast in-site searching by excavating most relevant links with an adaptive link ranking.In this we design a link tree data structure to achieve wider coverage for a website. Our experimental results on a set of representative domains show the agility and accuracy of our proposed crawler framework, which e_ciently retrieves deep-web interfaces from large-scale sites and achieves higher harvest rates than other crawlers. |
| Starting Page | 1816 |
| Ending Page | 1820 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| Volume Number | 3 |
| Alternate Webpage(s) | http://ijariie.com/AdminUploadPdf/Content_based_smart_crawler_for_efficiently_harvesting_deep_web_interface_ijariie5428.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |