Information retrieval in the World-Wide Web: making client-based searching feasible
Selected papers of the first conference on World-Wide Web
Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Efficient crawling through URL ordering
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Distributed Hypertext Resource Discovery Through Examples
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Focused Crawling Using Context Graphs
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Learning to crawl: Comparing classification schemes
ACM Transactions on Information Systems (TOIS)
Mining semantically related terms from biomedical literature
ACM Transactions on Asian Language Information Processing (TALIP)
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Topic-focused Web crawling aims to harness the potential of the Internet reliably and efficiently, producing topic specific indexes of pages within the Web. Previous work has focused on supplying suitably general descriptions of topics to generate large general indexes. In this paper we propose a method that uses lexical profiling of a corpus that consists of hierarchical structures in existing Web Directories to specify finer-grained topics on smaller training examples, while using the seemingly redundant information in related topics to make the process of gathering pages more efficient. We also suggest a link scoring formula that combines content, context and page lexical similarities to a given topic to prioritise the links for crawling. The initial experiments with the Open Directory Project show that the prioritised crawl provides significantly more pages than the breadth-first crawler. Also, the rate at which the number of relevant pages increases is much higher. Keeping the crawler close to the target subject allows "unproductive" periods to be reduced, by following links most likely to link to target pages.