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Answering Web Queries Using Structured Data Sources

Summary: Integrates structured data sources (relations, flat tables, XML) into web search results. Captures, annotates and translates user queries by extracting semantics from the query and leveraging structured stores to boost relevance (e.g., 'popular digital camera around $425' in a shopping DB). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4223
Venue
SIGMOD
Year
2009
Pagerank
4.7612871e-05
Overall Rank
7,326 | 49.04%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
2,025 Keyword++: A Framework to Improve Keyword Search Over Entity Databases 2010 VLDB 9.7462452e-05
4,092 Structured Annotations of Web Queries 2010 SIGMOD 6.4561959e-05
6,845 Facet Discovery for Structured Web Search: A Query-log Mining Approach 2011 SIGMOD 4.9092609e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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