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Generalizing GLOSS to Vector-Space Databases and Broker Hierarchies

Summary: Generalizes GLOSS to vector-space databases and broker hierarchies (gGlOSS) for estimating database usefulness per query. Evaluated on real-user queries over 53 databases; shows a scalable, small top-level broker suitable for replication at end-user workstations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8258
Venue
VLDB
Year
1995
Pagerank
0.00013022726
Overall Rank
1,256 | 91.27%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank Citing Paper Year Venue Pagerank
195 Optimizing Queries over Multimedia Repositories 1996 SIGMOD 0.00035406558
1,033 Determining Text Databases to Search in the Internet 1998 VLDB 0.00014543835
1,131 Automatic Discovery of Language Models for Text Databases 1999 SIGMOD 0.00013777757
3,734 STARTS: Stanford Proposal for Internet Meta-Searching 1997 SIGMOD 6.8095787e-05
4,707 Object-level Vertical Search 2007 CIDR 5.9810753e-05
8,691 Efficient and Effective Metasearch for Text Databases Incorporating Linkages among Documents 2001 SIGMOD 4.466355e-05
12,267 An Access Cost-Aware Approach for Object Retrieval over Multiple Sources 2010 VLDB 4.1945683e-05
12,447 AllInOneNews: Development and Evaluation of a Large-Scale News Metasearch Engine 2007 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,112 The Effectiveness of GLOSS for the Text Database Discovery Problem 1994 SIGMOD 7.5472744e-05
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