Description
The report has identified 189 cases using Artificial Intelligence to support/facilitate data interoperability inside the public sector in Europe. These 189 cases are included in this dataset. These 189 cases are out of the 720 AI cases listed in the other dataset published with the same report and linked here after. The dataset is including specific metadata as described in the report. This dataset is associated with the JRC Technical Report "Artificial Intelligence for Interoperability in the European Public Sector: an exploratory study" (JRC134713).
Contact
Contributors
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- European Commission, Joint Research Centre
- https://ec.europa.eu/info/departments/joint-research-centre
How to cite
European Commission, Joint Research Centre (JRC) (2023): Selected AI4IOP cases for (JRC134713). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/cdfdf221-0236-4ebd-8ae9-da5dac094a42
Keywords
Artificial Intelligence Public Sector Interoperability
Data access
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
This report provides the result of a research study conducted within the context of the Public Sector Tech Watch, an observatory developed by DG DIGIT, with the support of the Joint Research Centre (JRC), that provides a knowledge hub and a virtual space where public administrations, civil society, GovTech companies and researchers can find and share knowledge and experience. The report’s primary goal is to offer an analysis of how Artificial Intelligence (AI) systems are improving interoperability in the European Public Sector. The findings are based on three pillars: (i) a literature and policy review on the synergies between AI and interoperability; (ii) a quantitative analysis of a selected set of 189 use cases fitting the purpose of the research question; and (iii) a qualitative study going deeper into some illustrative cases. The findings highlight that the one-fourth of the cases collected are using AI techniques to support interoperability through a varied set of applications. Moreover, the semantic interoperability layer is fundamental in most of the cases. In addition, ontologies and taxonomies combined with AI can help in establishing interoperability between different systems. The solutions analysed classify, detect and provide structure, among other actions performed on data. Hence, AI has the capability to standardise, clean, structure and increase the usage of large volumes of data, thus improving overall quality and making it easier to use and share between different systems.
Temporal coverage
| From date | To date |
|---|---|
| N/A | 2022-09-30 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2023-09-20
- Modified date
- 2023-10-30
- Issued date
- 2023-10-10
- Data theme(s)
- Government and public sector
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/cdfdf221-0236-4ebd-8ae9-da5dac094a42
- Popularity
-