Article

Free access

A formal treatment of missing & imprecise information

Authors:

C. J. Van RijsbergenAuthors Info & Claims

SIGIR '87: Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 149 - 156

https://doi.org/10.1145/42005.42022

Published: 01 November 1987 Publication History

PDF eReader

Abstract

Missing, non-applicable and imprecise values arise frequently in Office Information Systems. There is a need to treat them in a consistent and useful manner. This paper proposes a method and gives the precise semantics of the retrieval operations in a system where imprecision is allowed. It also suggests a way to handle the uncertainty introduced by imprecise data values.

References

[1]

Date, C.J. 'Null Values iu Databa.-.":. bl~t,;v'~.e1,T,t.' Proceedings of the 2nd British Nationa.t Conference on Databases, 1982. (Unpublished proceedings.)

Google Scholar

[2]

Lipski, W. 'Semantic issues connected with incomplete information databases.' ACM Transactions on Database Systems Vol 4(3), pp262-296, 1979.

Digital Library

Google Scholar

[3]

Vassiliou, Y. 'A formal treatment of Imperfect Information in Database Management'. Technical Report CSRG-12a, University of Toronto, 1980.

Digital Library

Google Scholar

Cited By

View all

Dyreson C(1997)A Bibliography on Uncertainty Management in Information SystemsUncertainty Management in Information Systems10.1007/978-1-4615-6245-0_15(413-458)Online publication date: 1997
https://doi.org/10.1007/978-1-4615-6245-0_15
Rabitti FSavino P(1992)An Information-Retrieval Approach for Image DatabasesProceedings of the 18th International Conference on Very Large Data Bases10.5555/645918.672496(574-584)Online publication date: 23-Aug-1992
https://dl.acm.org/doi/10.5555/645918.672496
Barbará DGarcia-Molina HPorter D(1992)The Management of Probabilistic DataIEEE Transactions on Knowledge and Data Engineering10.1109/69.1669904:5(487-502)Online publication date: 1-Oct-1992
https://dl.acm.org/doi/10.1109/69.166990
Show More Cited By

Index Terms

A formal treatment of missing & imprecise information
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
2. Information systems
  1. Information retrieval

Recommendations

Imprecise information and uncertainty in information systems

Information systems exist to model, store, and retrieve all types of data. Problems arise when some of the data are missing or imprecisely known or when an attribute is not applicable to a particular object. A consistent and useful treatment of such ...
Naive possibilistic classifiers for imprecise or uncertain numerical data

In real-world problems, input data may be pervaded with uncertainty. In this paper, we investigate the behavior of naive possibilistic classifiers, as a counterpart to naive Bayesian ones, for dealing with classification tasks in the presence of ...
Logic and Model Checking by Imprecise Probabilistic Interpreted Systems
Multi-Agent Systems
Abstract
Stochastic multi-agent systems raise the necessity to extend probabilistic model checking to the epistemic domain. Results in this direction have been achieved by epistemic extensions of Probabilistic Computation Tree Logic and related ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SIGIR '87: Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval

November 1987

317 pages

ISBN:0897912322

DOI:10.1145/42005

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 1987

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

SIGIR87

Sponsor:

SIGIR

SIGIR87: The 10th Annual international ACM/SIGIR Conference on Research and Development in Information Retrieval

June 3 - 5, 1987

Louisiana, New Orleans, USA

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
337
Total Downloads

Downloads (Last 12 months)25
Downloads (Last 6 weeks)5

Reflects downloads up to 18 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Dyreson C(1997)A Bibliography on Uncertainty Management in Information SystemsUncertainty Management in Information Systems10.1007/978-1-4615-6245-0_15(413-458)Online publication date: 1997
https://doi.org/10.1007/978-1-4615-6245-0_15
Rabitti FSavino P(1992)An Information-Retrieval Approach for Image DatabasesProceedings of the 18th International Conference on Very Large Data Bases10.5555/645918.672496(574-584)Online publication date: 23-Aug-1992
https://dl.acm.org/doi/10.5555/645918.672496
Barbará DGarcia-Molina HPorter D(1992)The Management of Probabilistic DataIEEE Transactions on Knowledge and Data Engineering10.1109/69.1669904:5(487-502)Online publication date: 1-Oct-1992
https://dl.acm.org/doi/10.1109/69.166990
Fuhr N(1990)A Probabilistic Framework for Vague Queries and Imprecise Information in DatabasesProceedings of the 16th International Conference on Very Large Data Bases10.5555/645916.671964(696-707)Online publication date: 13-Aug-1990
https://dl.acm.org/doi/10.5555/645916.671964
Rabitti FSavino P(1990)Retrieval of multimedia documents by imprecise query specificationAdvances in Database Technology — EDBT '9010.1007/BFb0022172(203-218)Online publication date: 1990
https://doi.org/10.1007/BFb0022172
Barbara DGarcia-Molina HPorter D(1990)A probabilistic relational data modelAdvances in Database Technology — EDBT '9010.1007/BFb0022164(60-74)Online publication date: 1990
https://doi.org/10.1007/BFb0022164
Croft WKrovetz R(1988)Interactive retrieval office documentsACM SIGOIS Bulletin10.1145/966861.454359:2-3(228-235)Online publication date: 1-Apr-1988
https://dl.acm.org/doi/10.1145/966861.45435
Croft WKrovetz R(1988)Interactive retrieval office documentsProceedings of the ACM SIGOIS and IEEECS TC-OA 1988 conference on Office information systems10.1145/45410.45435(228-235)Online publication date: 1-Apr-1988
https://dl.acm.org/doi/10.1145/45410.45435
McClelland ETrueblood REastman C(1988)Two approximate operators for a data base query language: sounds-like and close-toIEEE Transactions on Systems, Man, and Cybernetics10.1109/21.2308718:6(873-884)Online publication date: Jan-1988
https://doi.org/10.1109/21.23087

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Imprecise information and uncertainty in information systems

Naive possibilistic classifiers for imprecise or uncertain numerical data

Logic and Model Checking by Imprecise Probabilistic Interpreted Systems