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@inproceedings{2298913,
author = {Klímek, Jakub and Chortaras, Alexandros and Míšek, Jakub and Yang, Jim and Skagemo, Steinar and Tzouvaras, Vassilis},
address = {Rome, Italy},
booktitle = {Proceedings of the 12th International Conference on Data Science, Technology and Applications},
doi = {http://dx.doi.org/10.5220/0000168100003541},
edition = {1},
keywords = {Interoperability;Linked Data;Open Data;Data Spaces;High-Value Datasets (HVDs);Company Data},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Rome, Italy},
isbn = {978-989-758-664-4},
pages = {183-194},
publisher = {Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea},
title = {Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach},
url = {https://www.scitepress.org/Link.aspx?doi=10.5220/0012132100003541},
year = {2023}
}
TY - JOUR
ID - 2298913
AU - Klímek, Jakub - Chortaras, Alexandros - Míšek, Jakub - Yang, Jim - Skagemo, Steinar - Tzouvaras, Vassilis
PY - 2023
TI - Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach
PB - Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea
CY - Rome, Italy
SN - 9789897586644
KW - Interoperability;Linked Data;Open Data;Data Spaces;High-Value Datasets (HVDs);Company Data
UR - https://www.scitepress.org/Link.aspx?doi=10.5220/0012132100003541
N2 - 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.
ER -
KLÍMEK, Jakub, Alexandros CHORTARAS, Jakub MÍŠEK, Jim YANG, Steinar SKAGEMO and Vassilis TZOUVARAS. Semantic, Technical and Legal Interoperability of European Company Open Data in Practice: The STIRData Approach. Online. In \textit{Proceedings of the 12th International Conference on Data Science, Technology and Applications}. 1st ed. Rome, Italy: Oleg Gusikhin, Slimane Hammoudi, Alfredo Cuzzocrea, 2023, p.~183-194. ISBN~978-989-758-664-4. Available from: https://dx.doi.org/10.5220/0000168100003541.
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