ACM SIGMOD Anthology VLDB dblp.uni-trier.de

Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies.

Luis Gravano, Hector Garcia-Molina: Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies. VLDB 1995: 78-89
@inproceedings{DBLP:conf/vldb/GravanoG95,
  author    = {Luis Gravano and
               Hector Garcia-Molina},
  editor    = {Umeshwar Dayal and
               Peter M. D. Gray and
               Shojiro Nishio},
  title     = {Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies},
  booktitle = {VLDB'95, Proceedings of 21th International Conference on Very
               Large Data Bases, September 11-15, 1995, Zurich, Switzerland},
  publisher = {Morgan Kaufmann},
  year      = {1995},
  isbn      = {1-55860-379-4},
  pages     = {78-89},
  ee        = {db/conf/vldb/GravanoG95.html},
  crossref  = {DBLP:conf/vldb/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

As large numbers of text databases have become available on the Internet, it is harder to locate the right sources for given queries. In this paper we present gGlOSS, a generalized Glossary-Of-Servers Server, that keeps statistics on the available databases to estimate which databases are the potentially most useful for a given query. gGlOSS extends our previous work [l], which focused on databases using the boolean model of document retrieval, to cover databases using the more sophisticated vector-space retrieval model. We evaluate our new techniques using real-user queries and 53 databases. Finally, we further generalize our approach by showing how to build a hierarchy of gGlOSS brokers. The top level of the hierarchy is so small it could be widely replicated, even at end-user workstations.

Copyright © 1995 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


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Printed Edition

Umeshwar Dayal, Peter M. D. Gray, Shojiro Nishio (Eds.): VLDB'95, Proceedings of 21th International Conference on Very Large Data Bases, September 11-15, 1995, Zurich, Switzerland. Morgan Kaufmann 1995, ISBN 1-55860-379-4
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