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2024 | OriginalPaper | Buchkapitel

Ontological Analysis of Dimensional Modeling Concepts in Data Warehousing/Business Intelligence Systems

verfasst von : Petr Prokop, Robert Pergl

Erschienen in: Advances in Enterprise Engineering XVII

Verlag: Springer Nature Switzerland

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Abstract

Collecting, processing and utilizing data information plays an increasingly important role in data warehousing/business intelligence (DWH/BI) systems. Currently, these systems are predominantly described using natural text, informal diagrams, or UML (Unified Modeling Language) diagrams. These potentially imprecise methods for describing new or complex DWH/BI topics can in combination with variations in naming and interpretations of concepts between different authors lead to miscommunication issues. This paper shows the possibility and benefits of using a more formal approach in documenting and describing such systems or their parts, which results in a more precise form of communication between researchers or industry experts. The conceptual analysis of selected parts of the DWH/BI domain is done using the OntoUML modeling language.

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Titel: Ontological Analysis of Dimensional Modeling Concepts in Data Warehousing/Business Intelligence Systems
verfasst von: Petr Prokop
Robert Pergl
Verlag: Springer Nature Switzerland
Buch: Advances in Enterprise Engineering XVII
Print ISBN: 978-3-031-58934-8

Electronic ISBN: 978-3-031-58935-5

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-58935-5_3

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