Towards Quality Assessment of OntoUML Conceptual Models Using RDF and SPARQL
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00368419" target="_blank" >RIV/68407700:21240/23:00368419 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3233/FAIA230230" target="_blank" >https://doi.org/10.3233/FAIA230230</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/FAIA230230" target="_blank" >10.3233/FAIA230230</a>
Alternative languages
Result language
angličtina
Original language name
Towards Quality Assessment of OntoUML Conceptual Models Using RDF and SPARQL
Original language description
OntoUML, an ontology-driven conceptual modelling language based on the Unified Foundational Ontology (UFO), has been demonstrated to have superior clarity in comparison to other commonly used modeling languages, as supported by empirical evidence. Furthermore, the use of RDF technology has led to the creation of the gUFO ontology, enabling the interoperability and reuse of RDF tools, thereby providing new opportunities to explore and evaluate large OntoUML/UFO models and their instances/data. This study utilizes the SPARQL query language to evaluate the quality of OntoUML models and develop queries for identifying and retrieving instances of anti-patterns defined for OntoUML. The effectiveness of these queries is assessed by applying them to a set of conceptual models of varying complexity that have been captured using gUFO.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
New Trends in Intelligent Software Methodologies, Tools and Techniques
ISBN
978-1-64368-430-7
ISSN
0922-6389
e-ISSN
1879-8314
Number of pages
12
Pages from-to
137-148
Publisher name
IOS Press
Place of publication
Amsterdam
Event location
Naples
Event date
Sep 20, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—