Towards Quality Assessment of OntoUML Conceptual Models Using RDF and SPARQL

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Quality Assessment of OntoUML Conceptual Models Using RDF and SPARQL

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Towards Quality Assessment of OntoUML Conceptual Models Using RDF and SPARQL

Popis výsledku anglicky

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.

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

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

New Trends in Intelligent Software Methodologies, Tools and Techniques

ISBN

978-1-64368-430-7

ISSN

0922-6389

e-ISSN

1879-8314

Počet stran výsledku

12

Strana od-do

137-148

Název nakladatele

IOS Press

Místo vydání

Amsterdam

Místo konání akce

Naples

Datum konání akce

20. 9. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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