loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Jakub Klímek 1 ; Alexandros Chortaras 2 ; Jakub Míšek 3 ; Jim Yang 4 ; Steinar Skagemo 5 and Vassilis Tzouvaras 2

Affiliations: 1 Charles University, Faculty of Mathematics and Physics, Department of Software Engineering, Czech Republic ; 2 School of Electrical and Computer Engineering, National Technical University of Athens, Greece ; 3 Institute of Law and Technology, Masaryk University, Czech Republic ; 4 Norwegian Digitalisation Agency, Norway ; 5 Brønnøysund Register Centre, Norway

Keyword(s): Interoperability, Linked Data, Open Data, Data Spaces, High-Value Datasets (HVDs), Company Data.

Abstract: As part of the Open Data Directive, the European Commission has published a list of high-value datasets (HVDs) that public sector bodies must make available as open data. The list also contains specific data items that must be included in these datasets. However, it does not prescribe any technical means of how the data should be published, severely hindering the interoperability of the datasets once they are published. One of the HVD topics is company data. In this practice report paper, we present results of STIRData, a project co-financed by the Connecting Europe Facility Programme of the European Union, focusing on technical, semantic, and legal interoperability of open data from business registries, covering the company data HVDs topic. The results include a data architecture and a data specification to make the published data technically and semantically interoperable, and legal interoperability guidelines to ensure legal interoperability of the published data. Moreover, proof- of-concept transformations of data from selected European business registries are shown using open source tools and according to the specification. Finally, a user-orientated platform for browsing and analysing the data is presented as an example of the possibilities of using the data published in an interoperable way. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.118.119.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Klímek, J.; Chortaras, A.; Míšek, J.; Yang, J.; Skagemo, S. and Tzouvaras, V. (2023). Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 183-194. DOI: 10.5220/0012132100003541

@conference{data23,
author={Jakub Klímek. and Alexandros Chortaras. and Jakub Míšek. and Jim Yang. and Steinar Skagemo. and Vassilis Tzouvaras.},
title={Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA},
year={2023},
pages={183-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012132100003541},
isbn={978-989-758-664-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
TI - Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach
SN - 978-989-758-664-4
IS - 2184-285X
AU - Klímek, J.
AU - Chortaras, A.
AU - Míšek, J.
AU - Yang, J.
AU - Skagemo, S.
AU - Tzouvaras, V.
PY - 2023
SP - 183
EP - 194
DO - 10.5220/0012132100003541
PB - SciTePress