Abstract
Web crawling is a fundamental step in many Web applications, such as search engine and data mining. This paper proposes an intelligent topic Web crawler based on DTB (dynamic topic base), which through studying on Web crawlers which filter URLs based on different methods. This Web crawler can update the topic base automatically and improve the accuracy of URL filtering. Experimental results show that the proposed Web crawler can fetch more topic relevant Web pages by crawling less Web space and in less time.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
