Mitigating Normal Form Violations Using Resources-Events-Agents, Resources-Events-Agents-Locations, and Hierarchy: A Knowledge-Based Approach

ABSTRACT Resources-Events-Agents (REA) accounting database systems knowledge can facilitate identification of normal form in databases that are not REA-compliant. This paper examines several database snippets, drawn from Oracle database materials, that have normal form violations and determines that knowledge of REA/REAL entity models (REA-Compliance) provides information that can be used to find those normal form violations in relational tables. I find that REA/REAL knowledge provides a capability that has not been fully leveraged, providing a link between the real-world and academic accounting database systems. Data Availability: Data are published in the paper. JEL Classifications: M4.

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Journal
Journal of Emerging Technologies in Accounting
Published
2024-10-16
DOI
https://doi.org/10.2308/jeta-2023-022
Primary Topic
Business Process Modeling and Analysis
Type
article
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article

Mitigating Normal Form Violations Using Resources-Events-Agents, Resources-Events-Agents-Locations, and Hierarchy: A Knowledge-Based Approach

Daniel E. O’Leary
Journal of Emerging Technologies in Accounting
Business Process Modeling and Analysis
article

Mitigating Normal Form Violations Using Resources-Events-Agents, Resources-Events-Agents-Locations, and Hierarchy: A Knowledge-Based Approach

Daniel E. O’Leary
article en

Abstract

ABSTRACT Resources-Events-Agents (REA) accounting database systems knowledge can facilitate identification of normal form in databases that are not REA-compliant. This paper examines several database snippets, drawn from Oracle database materials, that have normal form violations and determines that knowledge of REA/REAL entity models (REA-Compliance) provides information that can be used to find those normal form violations in relational tables. I find that REA/REAL knowledge provides a capability that has not been fully leveraged, providing a link between the real-world and academic accounting database systems. Data Availability: Data are published in the paper. JEL Classifications: M4.

Journal of Emerging Technologies in AccountingVol. 22(1)
University of Southern California (US), California Southern University (US)
Openalex Percentile: Top 73%
Business Process Modeling and Analysis
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Mitigating Normal Form Violations Using Resources-Events-Agents, Resources-Events-Agents-Locations, and Hierarchy: A Knowledge-Based Approach — Daniel E. O’Leary · Journal of Emerging Technologies in Accounting (2024) | TGRS Research Map | TGRS