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A conceptual schema for Knowledge-based systems

Author:

John F. SowaAuthors Info & Claims

ACM SIGART Bulletin, Issue 74

Pages 193 - 195

https://doi.org/10.1145/960128.806920

Published: 23 June 1980 Publication History

Abstract

Knowledge-based systems are data bases with more powerful front ends for dealing with the meaning of data. This paper discusses requirements for a conceptual schema that is general enough to support knowledge bases as well as ordinary data bases. It presents seven features that such a schema must support and evaluates various approaches to data base semantics in terms of them. The AI notations for semantic networks or conceptual graphs are highly general ones that can support all seven features.

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Brachman, Ronald J., & Brian C. Smith, eds. (1980) SIGART Newsletter, Special issue on knowledge representation, No. 70, Feb. 1980.

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Sowa, John F. (1976) "Conceptual graphs for a data base interface," IBM Journal of Research and Development, vol. 20, No. 4, pp. 336-357.

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Sowa, John F. (1979a) "Definitional mechanisms for conceptual graphs," in V. Claus, H. Ehrig, & G. Rozenberg, eds., Graph grammars and their application to computer science and biology, Springer Verlag, Berlin, pp. 426-439.

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Sowa, John F. (1979b) "Semantics of conceptual graphs," in Proceedings of the 17th Annual Meeting of the Association for Computational Linguistics, pp. 39-44.

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Sowa, John F. (forthcoming) Conceptual structures: information processing in mind and machine, Addison-Wesley, Reading, MA. To appear in fall of 1981.

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Cited By

Toh KHeffernan MKarpathiou VRamaprasad AWickramasinghe N(2016)An Ontological Health Cluster FrameworkProceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS)10.1109/HICSS.2016.123(960-969)Online publication date: 5-Jan-2016
https://dl.acm.org/doi/10.1109/HICSS.2016.123
Sykes JKonstantinou V(2001)Resolving Deontic Operator Conflicts in Legal DocumentsApplications and Innovations in Intelligent Systems VIII10.1007/978-1-4471-0275-5_8(107-120)Online publication date: 2001
https://doi.org/10.1007/978-1-4471-0275-5_8
Toh KHeffernan MKarpathiou VRamaprasad AWickramasinghe N(2017)Building an Ontological Framework for HealthcareHandbook of Research on Healthcare Administration and Management10.4018/978-1-5225-0920-2.ch039(646-661)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0920-2.ch039
Show More Cited By

Index Terms

A conceptual schema for Knowledge-based systems
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning
2. Information systems
  1. Data management systems
    1. Database design and models
      1. Data model extensions

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Published In

cover image ACM SIGART Bulletin

ACM SIGART Bulletin Just Accepted

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

Jan 1981

205 pages

ISSN:0163-5719

DOI:10.1145/960128

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

Copyright © 1980 ACM.

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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 1980

Published in SIGAI , Issue 74

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Cited By

Toh KHeffernan MKarpathiou VRamaprasad AWickramasinghe N(2016)An Ontological Health Cluster FrameworkProceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS)10.1109/HICSS.2016.123(960-969)Online publication date: 5-Jan-2016
https://dl.acm.org/doi/10.1109/HICSS.2016.123
Sykes JKonstantinou V(2001)Resolving Deontic Operator Conflicts in Legal DocumentsApplications and Innovations in Intelligent Systems VIII10.1007/978-1-4471-0275-5_8(107-120)Online publication date: 2001
https://doi.org/10.1007/978-1-4471-0275-5_8
Toh KHeffernan MKarpathiou VRamaprasad AWickramasinghe N(2017)Building an Ontological Framework for HealthcareHandbook of Research on Healthcare Administration and Management10.4018/978-1-5225-0920-2.ch039(646-661)Online publication date: 2017
https://doi.org/10.4018/978-1-5225-0920-2.ch039
Payne P(2012)Chapter 1: Biomedical Knowledge IntegrationPLoS Computational Biology10.1371/journal.pcbi.10028268:12(e1002826)Online publication date: 27-Dec-2012
https://doi.org/10.1371/journal.pcbi.1002826
Azzopardi JStaff C(2012)Automatic Adaptation and Recommendation of News Reports Using Surface-Based MethodsHighlights on Practical Applications of Agents and Multi-Agent Systems10.1007/978-3-642-28762-6_9(69-76)Online publication date: 2012
https://doi.org/10.1007/978-3-642-28762-6_9
Payne PMendonça EJohnson SStarren J(2007)Conceptual knowledge acquisition in biomedicine: A methodological reviewJournal of Biomedical Informatics10.1016/j.jbi.2007.03.00540:5(582-602)Online publication date: Oct-2007
https://doi.org/10.1016/j.jbi.2007.03.005
Richards MSchiffel J(2005)A Distance Learning Framework for Automatic Instructor Replies: Articulable Tacit Knowledge Used for Feedback upon RequestProceedings. IEEE SoutheastCon, 2005.10.1109/SECON.2005.1423315(611-620)Online publication date: 2005
https://doi.org/10.1109/SECON.2005.1423315
Pilote M(1983)A Data Modeling Approach to Simplify the Design of User InterfacesProceedings of the 9th International Conference on Very Large Data Bases10.5555/645911.673608(290-301)Online publication date: 31-Oct-1983
https://dl.acm.org/doi/10.5555/645911.673608
Marburger HNebel B(1983)Natuerlichsprachlicher Datenbankzugang mit HAM-ANS: Syntaktische Korrespondenz, natuerlichsprachliche Quantifizierung und semantisches Modell des DiskursbereichsSprachen für Datenbanken10.1007/978-3-642-69297-0_3(26-41)Online publication date: 1983
https://doi.org/10.1007/978-3-642-69297-0_3

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