Laying Foundations for Connecting Data Stewardship Domain Ontologies
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Laying Foundations for Connecting Data Stewardship Domain Ontologies
Original language description
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.
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
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
125-136
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
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