Abstract
Nowadays the Web represents a huge heterogeneous data source. The rapid growth of data volume and the dynamic nature of the Web make it difficult for users to find relevant information for a specific domain. To meet this demand, we have designed and implemented a novel system, called SESQ for building domain specific search engine. Using SESQ, the user first needs to specify the data schema of the domain and gives the seed for the data of the schema; then writes extracting rules to indicate how to get instance data of the schema from relevant web pages. The system will extract the instance data for the schema from the web pages and find new web sites and web pages relevant to the schema by crawling. SESQ provides a highly efficient data storage and index structure for the collected data, and provides an interactive query interface for end users to represent structural query on the data. Besides, the data can be further analyzed by some analytical tools (such as OLAP) .
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Guo, Q., Zhou, L., Guo, H., Zhang, J. (2006). SESQ: A Novel System for Building Domain Specific Web Search Engines. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_128
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DOI: https://doi.org/10.1007/11610113_128
Publisher Name: Springer, Berlin, Heidelberg
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