Nowadays information published in the internet has become a common knack for all. As a result volume of information has become huge. To handle that huge volume information, Web researchers are introduced various types of search engines. Efficiently Web-page crawling and resource repository building mechanisms are an important part of a search engine. Currently, Web researchers are already introduced various types of Web search crawler mechanism for the various search engines. In this paper, we have introduced a new design and development mechanism of domain-specific Web search crawler, which uses multilevel domain classifiers and crawls multiple domain related Web-pages, uses parallel crawling, etc. Two domain classifiers used to identify domain-specific Web-pages. These two domain classifiers are used one after the other, i.e., two levels. That's why we are calling this Web search crawler is a multilevel domain-specific Web search crawler. © 2013 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Sinha, S., Dattagupta, R., & Mukhopadhyay, D. (2013). A new approach to design a domain specific web search crawler using multilevel domain classifier. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7753 LNCS, pp. 476–487). Springer Verlag. https://doi.org/10.1007/978-3-642-36071-8_38
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