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Incompleteness in knowledge bases

Author:

Hector J. LevesqueAuthors Info & Claims

ACM SIGPLAN Notices, Volume 16, Issue 1

Pages 150 - 152

https://doi.org/10.1145/960124.806905

Published: 23 June 1980 Publication History

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Abstract

The first topic for discussion at the High Level Abstraction Workshop was

What should be modelled?

that is, what aspects of the world (slice of reality / enterprise) must be dealt with in a high level conceptual model. I would like to address this question from the point of view of incomplete knowledge bases. Although my remarks pertain mainly to AI applications, I suspect that any application using an information system of some sort will eventually have to face similar issues.

The knowledge bases required in many applications can be characterized by a lack of complete information about the world of interest.

Cited By

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Saïs FThomopoulos R(2019)Ontology-aware prediction from rulesKnowledge-Based Systems10.1016/j.knosys.2014.05.02367(117-130)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.knosys.2014.05.023
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
Zvieli AMacGregor SShapiro J(1986)Design of an expert system for utilization researchProceedings of the ACM SIGART international symposium on Methodologies for intelligent systems10.1145/12808.12814(40-55)Online publication date: 1-Dec-1986
https://dl.acm.org/doi/10.1145/12808.12814

Index Terms

Incompleteness in knowledge bases
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

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Incompleteness in knowledge bases
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling

The first topic for discussion at the High Level Abstraction Workshop was

What should be modelled?

that is, what aspects of the world (slice of reality / enterprise) must be dealt with in a high level conceptual model. I would like to address this ...
Incompleteness in knowledge bases
Proceedings of the workshop on Data abstraction, databases and conceptual modelling

The first topic for discussion at the High Level Abstraction Workshop was

What should be modelled?

that is, what aspects of the world (slice of reality / enterprise) must be dealt with in a high level conceptual model. I would like to address this ...
Incompleteness in knowledge bases
Proceedings of the workshop on Data abstraction, databases and conceptual modelling

The first topic for discussion at the High Level Abstraction Workshop was

What should be modelled?

that is, what aspects of the world (slice of reality / enterprise) must be dealt with in a high level conceptual model. I would like to address this ...

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Information & Contributors

Information

Published In

ACM SIGPLAN Notices Volume 16, Issue 1

Proceedings of the workshop on Data abstraction, databases and conceptual modelling

Jan 1981

205 pages

ISSN:0362-1340

EISSN:1558-1160

DOI:10.1145/960124

Issue’s Table of Contents

Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
June 1980
221 pages
ISBN:0897910311
DOI:10.1145/800227
Chairmen:
Stephen N. Zilles,
Michael L. Brodie

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 1980

Published in SIGPLAN Volume 16, Issue 1

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Cited By

View all

Saïs FThomopoulos R(2019)Ontology-aware prediction from rulesKnowledge-Based Systems10.1016/j.knosys.2014.05.02367(117-130)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1016/j.knosys.2014.05.023
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
Zvieli AMacGregor SShapiro J(1986)Design of an expert system for utilization researchProceedings of the ACM SIGART international symposium on Methodologies for intelligent systems10.1145/12808.12814(40-55)Online publication date: 1-Dec-1986
https://dl.acm.org/doi/10.1145/12808.12814

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Abstract

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