Behavioral ontological analysis of processes in data warehousing/business intelligence systems using UFO-B

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F25%3A00384701" target="_blank" >RIV/68407700:21240/25:00384701 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/abstract/document/11166484" target="_blank" >https://ieeexplore.ieee.org/abstract/document/11166484</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCTA65425.2025.11166484" target="_blank" >10.1109/ICCTA65425.2025.11166484</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Behavioral ontological analysis of processes in data warehousing/business intelligence systems using UFO-B

Popis výsledku v původním jazyce

The acquisition, processing, and utilization of data have become increasingly critical in data warehouse (DWH) and business intelligence (BI) systems. However, the current approaches to modeling these systems—relying on natural language descriptions, informal diagrams, or UML models often introduce ambiguity and inconsistencies, making it difficult to ensure clear communication between researchers and industry professionals, particularly for complex DWH processes. To address this issue, we explore the use of ontologically driven conceptual modeling based on UFO-B as a means to enhance clarity, precision, and consistency in representing DWH/BI processes. By leveraging UFO-B’s formal semantics for modeling dynamic aspects such as events, processes, and temporal relations, we aim to demonstrate how it can improve the expressiveness and interpretability of DWH/BI models. As part of this investigation, we also propose an extension of OntoUML to incorporate missing UFO-B constructs, allowing for a more comprehensive and semantically rich representation of behavioral aspects in DWH/BI systems. Through this approach, we aim to showcase both the feasibility and benefits of applying ontologically grounded methods in this domain.

Název v anglickém jazyce

Behavioral ontological analysis of processes in data warehousing/business intelligence systems using UFO-B

Popis výsledku anglicky

The acquisition, processing, and utilization of data have become increasingly critical in data warehouse (DWH) and business intelligence (BI) systems. However, the current approaches to modeling these systems—relying on natural language descriptions, informal diagrams, or UML models often introduce ambiguity and inconsistencies, making it difficult to ensure clear communication between researchers and industry professionals, particularly for complex DWH processes. To address this issue, we explore the use of ontologically driven conceptual modeling based on UFO-B as a means to enhance clarity, precision, and consistency in representing DWH/BI processes. By leveraging UFO-B’s formal semantics for modeling dynamic aspects such as events, processes, and temporal relations, we aim to demonstrate how it can improve the expressiveness and interpretability of DWH/BI models. As part of this investigation, we also propose an extension of OntoUML to incorporate missing UFO-B constructs, allowing for a more comprehensive and semantically rich representation of behavioral aspects in DWH/BI systems. Through this approach, we aim to showcase both the feasibility and benefits of applying ontologically grounded methods in this domain.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 International Conference on Computer Technology Applications

ISBN

979-8-3315-1264-4

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

205-210

Název nakladatele

IEEE Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, New Jersey

Místo konání akce

Vienna

Datum konání akce

21. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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