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Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies

Summary: gGlOSS extends GlOSS from Boolean to vector-space retrieval, using database statistics to rank useful text sources for a query. Hierarchical brokers yield a tiny, widely replicable top-level directory; evaluated with real queries over 53 databases. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8449
Venue
VLDB
Year
1995
Pagerank
9.3030756e-05
Overall Rank
2,016 | 86.17%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{gravano_vldb95,
        title = {{Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies}},
        author = {Gravano, Luis and García-Molina, Héctor},
        journal = {PVLDB},
        series = {{VLDB} '95},
        pages = {78--89},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

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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
4,022 The Effectiveness of GLOSS for the Text Database Discovery Problem 1994 SIGMOD 6.9498405e-05
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