The Effectiveness of GlOSS for the Text Database Discovery Problem.

Luis Gravano, Hector Garcia-Molina, Anthony Tomasic: The Effectiveness of GlOSS for the Text Database Discovery Problem. SIGMOD Conference 1994: 126-137

@inproceedings{DBLP:conf/sigmod/GravanoGT94,
  author    = {Luis Gravano and
               Hector Garcia-Molina and
               Anthony Tomasic},
  editor    = {Richard T. Snodgrass and
               Marianne Winslett},
  title     = {The Effectiveness of GlOSS for the Text Database Discovery Problem},
  booktitle = {Proceedings of the 1994 ACM SIGMOD International Conference on
               Management of Data, Minneapolis, Minnesota, May 24-27, 1994},
  publisher = {ACM Press},
  year      = {1994},
  pages     = {126-137},
  ee        = {http://doi.acm.org/10.1145/191839.191869, db/conf/sigmod/GravanoGT94.html},
  crossref  = {DBLP:conf/sigmod/94},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

The popularity of on-line document databases has led to a new problem: finding which text databases (out of many candidate choices) are the most relevant to a user. Identifying the relevant databases for a given query is the text-database discovery problem. The first part of this paper presents a practical solution based on estimating the result size of a query and a database. The method is termed GlOSS - Glossary of Servers Server. The second part of this paper evaluates the effectiveness of GlOSS based on a trace of real-user queries. In addition, we analyze the storage cost of our approach.

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References

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