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A Probabilistic Framework for Vague Queries and Imprecise Information in Databases.

Norbert Fuhr: A Probabilistic Framework for Vague Queries and Imprecise Information in Databases. VLDB 1990: 696-707
@inproceedings{DBLP:conf/vldb/Fuhr90,
  author    = {Norbert Fuhr},
  editor    = {Dennis McLeod and
               Ron Sacks-Davis and
               Hans-J{\"o}rg Schek},
  title     = {A Probabilistic Framework for Vague Queries and Imprecise Information
               in Databases},
  booktitle = {16th International Conference on Very Large Data Bases, August
               13-16, 1990, Brisbane, Queensland, Australia, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1990},
  isbn      = {1-55860-149-X},
  pages     = {696-707},
  ee        = {db/conf/vldb/Fuhr90.html},
  crossref  = {DBLP:conf/vldb/90},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a ranking of objects from the database in response to a query. By using relevance judgements from the user about the objects retrieved, the ranking for the actual query as well as the overall retrieval quality of the system can be further improved. For specifying different kinds of conditions in vague queries, the notion of vague predicates is introduced. Based on the underlying probabilistic model, also imprecise or missing attribute values can be treated easily. In addition, the corresponding formulas can be applied in combination with standard predicates (from two-valued logic), thus extending standard database systems for coping with missing or imprecise data.

Copyright © 1990 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.


Online Paper

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Printed Edition

Dennis McLeod, Ron Sacks-Davis, Hans-Jörg Schek (Eds.): 16th International Conference on Very Large Data Bases, August 13-16, 1990, Brisbane, Queensland, Australia, Proceedings. Morgan Kaufmann 1990, ISBN 1-55860-149-X
BibTeX

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Referenced by

  1. Curtis E. Dyreson, Richard T. Snodgrass: Supporting Valid-Time Indeterminacy. ACM Trans. Database Syst. 23(1): 1-57(1998)
  2. Daniel Knaus, Peter Schäuble: The System Architecture and the Transaction Concept of the SPIDER Information Retrieval System. IEEE Data Eng. Bull. 19(1): 43-52(1996)
  3. Norbert Fuhr: Models for Integrated Information Retrieval and Database Systems. IEEE Data Eng. Bull. 19(1): 3-13(1996)
  4. Beat Wüthrich: Probabilistic Knowledge Bases. IEEE Trans. Knowl. Data Eng. 7(5): 691-698(1995)
  5. M. W. Bright, Ali R. Hurson, Simin H. Pakzad: Automated Resolution of Semantic Heterogeneity in Multidatabases. ACM Trans. Database Syst. 19(2): 212-253(1994)
  6. Daniel Barbará, Hector Garcia-Molina, Daryl Porter: The Management of Probabilistic Data. IEEE Trans. Knowl. Data Eng. 4(5): 487-502(1992)
  7. W. Bruce Croft, Howard R. Turtle: Retrieval of Complex Objects. EDBT 1992: 217-229
BibTeX
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