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Seminar on crawler
- 1. WEB CRAWLERs Siddharth Shankar
- 5. less used names- ants,bots and worms.
- 8. Finding relevant information requires an efficient mechanism.
- 10. How does web crawler work?
- 15. Repetitive Crawling: once pages have been crawled, some systems require the process to be repeated periodically so that indexes are kept updated.
- 17. Crawling Policies Selection Policy that states which pages to download. Re-visit Policy that states when to check for changes to the pages. Politeness Policy that states how to avoid overloading Web sites. Parallelization Policy that states how to coordinate distributed Web crawlers.
- 21. Cost factors play important role in crawling.
- 22. Freshness and Age- commonly used cost functions.
- 29. A hashing function can be used to transform URLs into a number that corresponds to the index of the corresponding crawling process.
- 31. STRATEGIES OF FOCUSED CRAWLING A focused crawler predict the probability that a link to a particular page is relevant before actually downloading the page. A possible predictor is the anchor text of links. In another approach, the relevance of a page is determined after downloading its content. Relevant pages are sent to content indexing and their contained URLs are added to the crawl frontier; pages that fall below a relevance threshold are discarded.
- 32. EXAMPLES Yahoo! Slurp: Yahoo Search crawler. Msnbot:Microsoft's Bing web crawler. Googlebot : Google’s web crawler. WebCrawler : Used to build the first publicly-available full-text index of a subset of the Web. World Wide Web Worm : Used to build a simple index of document titles and URLs. Web Fountain: Distributed, modular crawler written in C++. Slug: Semantic web crawler
- 33. CONCLUSION Web crawlers are an important aspect of the search engines. Web crawling processes deemed high performance are the basic components of various Web services. It is not a trivial matter to set up such systems: 1. Data manipulated by these crawlers cover a wide area. 2. It is crucial to preserve a good balance between random access memory and disk accesses.
- 34. THANKYOU