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

Rohit A. Deshmukh; Diego Collarana; Joshua Gelhaar; Johannes Theissen-Lipp; Christoph Lange; Benedikt T. Arnold; Edward Curry; Stefan Decker

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

Rohit A. Deshmukh
, Diego Collarana
, Joshua Gelhaar
, Johannes Theissen-Lipp
, Christoph Lange
, Benedikt T. Arnold
, Edward Curry
, Stefan Decker

Fraunhofer FIT
Fraunhofer Institute for Software and Systems Engineering ISST
RWTH Aachen University

Research output: Contribution to a Journal (Peer & Non Peer) › Conference article › peer-review

1 Citation (Scopus)

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.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	3705
Publication status	Published - 2024
Event	2nd International Workshop on Semantics in Dataspaces, SDS 2024 - Hersonissos, Greece Duration: 26 May 2024 → …

Keywords

AI
Cross-Domain Dataspaces
Interoperability
Large Language Models
Semantic Interoperability

Cite this

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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.",

keywords = "AI, Cross-Domain Dataspaces, Interoperability, Large Language Models, Semantic Interoperability",

author = "Deshmukh, \{Rohit A.\} and Diego Collarana and Joshua Gelhaar and Johannes Theissen-Lipp and Christoph Lange and Arnold, \{Benedikt T.\} and Edward Curry and Stefan Decker",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 2nd International Workshop on Semantics in Dataspaces, SDS 2024 ; Conference date: 26-05-2024",

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language = "English",

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journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - Challenges and Opportunities for Enabling the Next Generation of Cross-Domain Dataspaces

AU - Deshmukh, Rohit A.

AU - Collarana, Diego

AU - Gelhaar, Joshua

AU - Theissen-Lipp, Johannes

AU - Lange, Christoph

AU - Arnold, Benedikt T.

AU - Curry, Edward

AU - Decker, Stefan

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - AI

KW - Cross-Domain Dataspaces

KW - Interoperability

KW - Large Language Models

KW - Semantic Interoperability

UR - https://www.scopus.com/pages/publications/85196323586

M3 - Conference article

AN - SCOPUS:85196323586

SN - 1613-0073

VL - 3705

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2nd International Workshop on Semantics in Dataspaces, SDS 2024

Y2 - 26 May 2024

ER -

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

Abstract

Keywords

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