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  4. Challenges and Opportunities for Enabling the Next Generation of Cross-Domain Dataspaces
 
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2024
Conference Paper
Title

Challenges and Opportunities for Enabling the Next Generation of Cross-Domain Dataspaces

Abstract
Dataspaces are regarded as a standardized solution for sharing data in a trusted way. However, providing and sharing high-quality data across dataspaces poses several scientific and technical challenges, opening new research avenues. Developing governance models and technologies for supporting cross-domain integration of data and services from the existing single-domain dataspaces represents a significant challenge. In this vision paper, we discuss the challenges for enabling next-generation dataspaces and propose an innovative approach that aims at developing a vision and identifying requirements and building blocks for next-generation dataspaces, followed by defining a roadmap and practical migration paths for the existing dataspaces towards the next-generation dataspaces.
Author(s)
Deshmukh, Rohit  orcid-logo
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Collarana Vargas, Diego
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Gelhaar, Joshua  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Theissen-Lipp, Johannes  orcid-logo
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Lange-Bever, Christoph  orcid-logo
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Arnold, Benedikt Tobias  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Curry, Edward
Decker, Stefan  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Mainwork
Second International Workshop on Semantics in Dataspaces, SDS 2024. Proceedings  
Conference
International Workshop on Semantics in Dataspaces 2024  
Extended Semantic Web Conference 2024  
Link
Link
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Keyword(s)
  • AI

  • Cross-Domain Dataspaces

  • Interoperability

  • Large Language Models

  • Semantic Interoperability

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