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Efficient and Effective Metasearch for Text Databases Incorporating Linkages among Documents

Summary: Metasearch across local text databases uses document linkages to influence database selection via representatives. Presents a necessary-and-sufficient condition for optimal ranking with linkage-aware relevance and a linear-time estimation in the number of query terms; experiments show improved retrieval. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3268
Venue
SIGMOD
Year
2001
Pagerank
4.466355e-05
Overall Rank
8,691 | 39.54%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,672 Effective Keyword-based Selection of Relational Databases 2007 SIGMOD 5.3784128e-05
7,136 Distributed Top-N Query Processing with Possibly Uncooperative Local Systems 2003 VLDB 4.8220711e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,033 Determining Text Databases to Search in the Internet 1998 VLDB 0.00014543835
1,256 Generalizing GLOSS to Vector-Space Databases and Broker Hierarchies 1995 VLDB 0.00013022726
1,899 Merging Ranks from Heterogeneous Internet Sources 1997 VLDB 0.00010170921
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