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Avatar Semantic Search: A Database Approach to Information Retrieval

Summary: Avatar Semantic Search combines offline high-precision information extraction with a structured store of facts, concepts, and relationships. At runtime, keywords map to precise structured queries over this semantic store, yielding improved results over traditional keyword search (Enron, blog corpus). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3826
Venue
SIGMOD
Year
2006
Pagerank
7.1972915e-05
Overall Rank
3,341 | 76.76%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,140 EntityRank: Searching Entities Directly and Holistically 2007 VLDB 0.00013720706
4,092 Structured Annotations of Web Queries 2010 SIGMOD 6.4561959e-05
8,029 Understanding Queries in a Search Database System 2010 PODS 4.6028544e-05
8,766 Toward Scalable Keyword Search over Relational Data 2010 VLDB 4.456315e-05
12,387 Relaxation in Text Search using Taxonomies 2008 VLDB 4.1945683e-05
13,485 Rewrite Rules for Search Database Systems 2011 PODS -
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
434 XSEarch: A Semantic Search Engine for XML 2003 VLDB 0.0002328559
2,224 The SphereSearch Engine for Unified Ranked Retrieval of Heterogeneous XML and Web Documents 2005 VLDB 9.251962e-05
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