Semantic domain specific search engine

The World-Wide-Web (WWW) is growing exponentially and has become increasingly difficult to retrieve relevant information on the web. The rapid growth of the WWW poses unprecedented scaling challenges for general purpose crawlers and search engines. In this paper we describe a new hypertext resource discovery system called topic specific crawler. The goal of this crawler is to selectively seek out pages that are relevant to a predefined set of topics, rather than collecting and indexing all accessible web documents to be able to answer all possible ad-hoc queries. A topic specific crawler analyses its crawl boundary to find the links that are likely to be most relevant for the crawl. This leads to significant savings in hardware and network resources, and helps keep the crawl more up-to-date.