Abstract
We propose a new approach to discover and extract topic-specific hypertext resources from the WWW. The method, called schema driven and topical crawling, allows a user to define schema and extracting rules for a specific domain of interests. It supports automatically search and extract schema-relevant web pages from the web. Different from common approaches that surf solely on web pages, our approach supports crawler to surf on a virtual network composed by concept instances and relationships. To achieve such a goal, we design an architecture that integrates several techniques including web extractor, meta-search engine and query expansion, and provide a toolkit to support it.
This research work is part of the ALVIS project of EU’s 6th Framework Programme and funded by the Ministry of Science and Technology of China.
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Guo, Q., Guo, H., Zhang, Z., Sun, J., Feng, J. (2005). Schema Driven and Topic Specific Web Crawling. In: Zhou, L., Ooi, B.C., Meng, X. (eds) Database Systems for Advanced Applications. DASFAA 2005. Lecture Notes in Computer Science, vol 3453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408079_55
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DOI: https://doi.org/10.1007/11408079_55
Publisher Name: Springer, Berlin, Heidelberg
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