On Enforcing Dyadic-type Homogeneous Binary Function Product Constraints in MatBase

Authors

  • Christian Mancas

    Mathematics and Computer Science Department, Ovidius University, Constanta, CT, 900 527, Romania

DOI:

https://doi.org/10.30564/jcsr.v6i1.6227
Received: 25 January 2024 | Revised: 26 February 2024 | Accepted: 27 February 2024 | Published Online: 8 March 2024

Abstract

Homogeneous binary function products are often encountered in the sub-universes modeled by databases, from genealogical trees to sports, from education to healthcare, etc. Their properties must be discovered and enforced by the software applications managing such data to guarantee plausibility. The (Elementary) Mathematical Data Model provides 17 dyadic-type homogeneous binary function product constraint types. MatBase, an intelligent data and knowledge base management system prototype, allows database designers to simply declare them by only clicking corresponding checkboxes and automatically generates code for enforcing them. This paper describes the algorithms that MatBase uses for enforcing all these 17 homogeneous binary function product constraint types, which may also be used by developers not having access to MatBase.

Keywords:

Database constraints; Homogeneous binary function products; Dyadic relations; Modelling as programming; The (Elementary) Mathematical Data Model; MatBase

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How to Cite

Mancas, C. (2024). On Enforcing Dyadic-type Homogeneous Binary Function Product Constraints in MatBase. Journal of Computer Science Research, 6(1), 31–42. https://doi.org/10.30564/jcsr.v6i1.6227

Issue

Vol. 6 , Iss. 1 (January 2024)

Article Type

Article

License

Copyright © 2024 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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