Ontological analysis of dimensional modeling concepts in data warehousing/business intelligence systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00371057" target="_blank" >RIV/68407700:21240/24:00371057 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-58935-5_3" target="_blank" >https://doi.org/10.1007/978-3-031-58935-5_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-58935-5_3" target="_blank" >10.1007/978-3-031-58935-5_3</a>
Alternative languages
Result language
angličtina
Original language name
Ontological analysis of dimensional modeling concepts in data warehousing/business intelligence systems
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Enterprise Engineering XVII: 13th Enterprise Design and Engineering Working Conference, EDEWC 2023, Vienna, Austria, November 28–29, 2023, Revised Selected Papers
ISBN
978-3-031-58934-8
ISSN
1865-1348
e-ISSN
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Number of pages
17
Pages from-to
35-51
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
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Event location
Vienna
Event date
Nov 28, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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