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Data models in database management

Author:

E. F. CoddAuthors Info & Claims

ACM SIGART Bulletin, Issue 74

Pages 112 - 114

https://doi.org/10.1145/960128.806891

Published: 23 June 1980 Publication History

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Abstract

It is a combination of three components: 1) a collection of data structure types (the building blocks of any database that conforms to the model);

2) a collection of operators or inferencing rules, which can be applied to any valid instances of the data types listed in (1), to retrieve or derive data from any parts of those structures in any combinations desired;

3) a collection of general integrity rules, which implicitly or explicitly define the set of consistent database states or changes of state or both—these rules may sometimes be expressed as insert-update-delete rules.

Cited By

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Eessaar E(2007)Metamodel-based Comparison of Data ModelsAdvances and Innovations in Systems, Computing Sciences and Software Engineering10.1007/978-1-4020-6264-3_21(109-114)Online publication date: 2007
https://doi.org/10.1007/978-1-4020-6264-3_21
Pavliš R(2024)Graph Databases: An Alternative to Relational Databases in an Interconnected Big Data Environment2024 47th MIPRO ICT and Electronics Convention (MIPRO)10.1109/MIPRO60963.2024.10569422(247-252)Online publication date: 20-May-2024
https://doi.org/10.1109/MIPRO60963.2024.10569422
Di Pierro DFerilli SRedavid D(2023)LPG-Based Knowledge Graphs: A Survey, a Proposal and Current TrendsInformation10.3390/info1403015414:3(154)Online publication date: 1-Mar-2023
https://doi.org/10.3390/info14030154
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Index Terms

Data models in database management
1. Information systems
  1. Data management systems
    1. Database design and models

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Data models in database management
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling

It is a combination of three components: 1) a collection of data structure types (the building blocks of any database that conforms to the model);

2) a collection of operators or inferencing rules, which can be applied to any valid instances of the data ...
Data models in database management
Proceedings of the workshop on Data abstraction, databases and conceptual modelling

It is a combination of three components: 1) a collection of data structure types (the building blocks of any database that conforms to the model);

2) a collection of operators or inferencing rules, which can be applied to any valid instances of the data ...
Data models in database management
Proceedings of the workshop on Data abstraction, databases and conceptual modelling

It is a combination of three components: 1) a collection of data structure types (the building blocks of any database that conforms to the model);

2) a collection of operators or inferencing rules, which can be applied to any valid instances of the data ...

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Information

Published In

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

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

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Eessaar E(2007)Metamodel-based Comparison of Data ModelsAdvances and Innovations in Systems, Computing Sciences and Software Engineering10.1007/978-1-4020-6264-3_21(109-114)Online publication date: 2007
https://doi.org/10.1007/978-1-4020-6264-3_21
Pavliš R(2024)Graph Databases: An Alternative to Relational Databases in an Interconnected Big Data Environment2024 47th MIPRO ICT and Electronics Convention (MIPRO)10.1109/MIPRO60963.2024.10569422(247-252)Online publication date: 20-May-2024
https://doi.org/10.1109/MIPRO60963.2024.10569422
Di Pierro DFerilli SRedavid D(2023)LPG-Based Knowledge Graphs: A Survey, a Proposal and Current TrendsInformation10.3390/info1403015414:3(154)Online publication date: 1-Mar-2023
https://doi.org/10.3390/info14030154
Markova VIvanova KKarastanev S(2023)Big Data Addressed in Natural Language2023 International Conference on Advanced Enterprise Information System (AEIS)10.1109/AEIS61544.2023.00016(53-57)Online publication date: 1-Dec-2023
https://doi.org/10.1109/AEIS61544.2023.00016
Purohit SVan NChin G(2021)Semantic Property Graph for Scalable Knowledge Graph Analytics2021 IEEE International Conference on Big Data (Big Data)10.1109/BigData52589.2021.9671547(2672-2677)Online publication date: 15-Dec-2021
https://doi.org/10.1109/BigData52589.2021.9671547
Chereja IHahn SMatei OAvram A(2021)Multidimensional Analysis of NewSQL Database SystemsSoftware Engineering and Algorithms10.1007/978-3-030-77442-4_19(221-236)Online publication date: 20-Jul-2021
https://doi.org/10.1007/978-3-030-77442-4_19
Muji M(2015)Logical Operators for the Data-oriented Design of the User InterfacesProcedia Technology10.1016/j.protcy.2015.02.11619(810-815)Online publication date: 2015
https://doi.org/10.1016/j.protcy.2015.02.116
Krcmar HKrcmar H(2015)ModellierungInformationsmanagement10.1007/978-3-662-45863-1_3(31-82)Online publication date: 8-Apr-2015
https://doi.org/10.1007/978-3-662-45863-1_3
Park YShankar MPark BGhosh J(2014)Graph databases for large-scale healthcare systems: A framework for efficient data management and data services2014 IEEE 30th International Conference on Data Engineering Workshops10.1109/ICDEW.2014.6818295(12-19)Online publication date: Mar-2014
https://doi.org/10.1109/ICDEW.2014.6818295
Sandborg-Petersen U(2013)The Emdros Text Database Engine as a Platform for Persuasive ComputingInternational Journal of Conceptual Structures and Smart Applications10.4018/ijcssa.20130701061:2(48-57)Online publication date: 1-Jul-2013
https://dl.acm.org/doi/10.4018/ijcssa.2013070106
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