Laying Foundations for Connecting Data Stewardship Domain Ontologies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00368418" target="_blank" >RIV/68407700:21240/23:00368418 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.3233/FAIA230229" target="_blank" >https://doi.org/10.3233/FAIA230229</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/FAIA230229" target="_blank" >10.3233/FAIA230229</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Laying Foundations for Connecting Data Stewardship Domain Ontologies

Popis výsledku v původním jazyce

Effective management of research data is crucial in modern scientific research, and ontologies and vocabularies play a significant role in describing and organizing such data. However, the abundance of available ontologies and vocabularies for various aspects of research data management (RDM) poses challenges in selecting the most suitable ones. This work aims to comprehensively analyze the key ontologies relevant to data stewardship and RDM. By investigating concepts, properties, interlinks, and potential overlaps, we establish and describe the relationships between these selected ontologies. Our analysis not only enhances understanding of existing ontologies and vocabularies used in RDM but also suggests practical applications for the outcomes of this study. For instance, we propose leveraging the findings to develop semantic data management plans in RDF, thereby improving the organization and accessibility of research data. Moreover, we identify potential ontologies for future extensions of this work.

Název v anglickém jazyce

Laying Foundations for Connecting Data Stewardship Domain Ontologies

Popis výsledku anglicky

Effective management of research data is crucial in modern scientific research, and ontologies and vocabularies play a significant role in describing and organizing such data. However, the abundance of available ontologies and vocabularies for various aspects of research data management (RDM) poses challenges in selecting the most suitable ones. This work aims to comprehensively analyze the key ontologies relevant to data stewardship and RDM. By investigating concepts, properties, interlinks, and potential overlaps, we establish and describe the relationships between these selected ontologies. Our analysis not only enhances understanding of existing ontologies and vocabularies used in RDM but also suggests practical applications for the outcomes of this study. For instance, we propose leveraging the findings to develop semantic data management plans in RDF, thereby improving the organization and accessibility of research data. Moreover, we identify potential ontologies for future extensions of this work.

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

125-136

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

—