Exploiting Web Search Engines to Search Structured Databases

Presented at: 18th International World Wide Web Conference (WWW2009)

by Sanjay Agrawal, Kaushik Chakrabarti, Surajit Chaudhuri, Venkatesh Ganti, Arnd Christian K├Ânig, Dong Xin

Webpage: http://www2009.eprints.org/51/1/p501.pdf

Web search engines often federate many user queries to relevant structured databases. For example, a product related query might be federated to a product database containing their descriptions and specifications. The relevant structured data items are then returned to the user along with web search results. However, each structured database is searched in isolation. Hence, the search often produces empty or incomplete results as the database may not contain the required information to answer the query. In this paper, we propose a novel integrated search architecture. We establish and exploit the relationships between web search results and the items in structured databases to identify the relevant structured data items for a much wider range of queries. Our architecture leverages existing search engine components to implement this functionality at very low overhead. We demonstrate the quality and efficiency of our techniques through an extensive experimental study.

Keywords: Search

Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2009/paper/51

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