Towards Normalized Systems from RDF with SPARQL

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F22%3A00359952" target="_blank" >RIV/68407700:21240/22:00359952 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.3233/FAIA220290" target="_blank" >https://doi.org/10.3233/FAIA220290</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/FAIA220290" target="_blank" >10.3233/FAIA220290</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Normalized Systems from RDF with SPARQL

Popis výsledku v původním jazyce

Normalized Systems are a model-driven development technique focusing on evolvability and sustainability of resulting enterprise information systems. It applies well-defined principles to create a fine-grained modular structure while limiting combinatorial effects. The systems are generated (or, more precisely, expanded) from models of so-called NS Elements. NS has its own modelling language; however, interoperability with other knowledge representations is necessary. This work presents our solution for transforming knowledge kept in one of the most generic forms – RDF semantic triples – to NS Elements. The transformation enables mapping using RDFS/OWL ontologies describing both the input RDF. It utilizes SPARQL for executing the transformation to RDF based on the existing NS Element ontology. The presented transformation is demonstrated on an example case study, and its features and limitations are discussed together with potential future steps.

Název v anglickém jazyce

Towards Normalized Systems from RDF with SPARQL

Popis výsledku anglicky

Normalized Systems are a model-driven development technique focusing on evolvability and sustainability of resulting enterprise information systems. It applies well-defined principles to create a fine-grained modular structure while limiting combinatorial effects. The systems are generated (or, more precisely, expanded) from models of so-called NS Elements. NS has its own modelling language; however, interoperability with other knowledge representations is necessary. This work presents our solution for transforming knowledge kept in one of the most generic forms – RDF semantic triples – to NS Elements. The transformation enables mapping using RDFS/OWL ontologies describing both the input RDF. It utilizes SPARQL for executing the transformation to RDF based on the existing NS Element ontology. The presented transformation is demonstrated on an example case study, and its features and limitations are discussed together with potential future steps.

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

2022

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

978-1-64368-316-4

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

609-620

Název nakladatele

IOS Press

Místo vydání

Amsterdam

Místo konání akce

Kitakyushu

Datum konání akce

20. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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