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  4. Towards a decentralized data hub and query system for federated dynamic data spaces
 
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2023
Conference Paper
Title

Towards a decentralized data hub and query system for federated dynamic data spaces

Abstract
This position paper proposes a hybrid architecture for secure and efficient data sharing and processing across dynamic data spaces. On the one hand, current centralized approaches are plagued by issues such as lack of privacy and control for users, high costs, and bad performance, making these approaches unsuitable for the decentralized data spaces prevalent in Europe and various industries (decentralized on the conceptual and physical levels while centralized in the underlying implementation). On the other hand, decentralized systems face challenges with limited knowledge of/control over the global system, fair resource utilization, and data provenance. Our proposed Semantic Data Ledger (SDL) approach combines the advantages of both architectures to overcome their limitations. SDL allows users to choose the best combination of centralized and decentralized features, providing a decentralized infrastructure for the publication of structured data with machine-readable semantics. It supports expressive structured queries, secure data sharing, and payment mechanisms based on an underlying autonomous ledger, enabling the implementation of economic models and fair-use strategies.
Author(s)
Phuoc, Danh Le
Technische Universität Berlin  
Schimmler, Sonja  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Le-Tuan, Anh
Technische Universität Berlin
Kuehn, Uwe A.
Technische Universität Berlin  
Hauswirth, Manfred  
Technische Universität Berlin  
Mainwork
The ACM Web Conference 2023. Companion of The World Wide Web Conference WWW 2023  
Project(s)
Semantic Low-code Programming Tools for Edge Intelligence  
NFDI für Datenwissenschaften und Künstliche Intelligenz  
Berechnungsgrundlagen zur semantischen Verarbeitung von Strömen  
BIFOLD - Berlin Institute for the Foundations of Learning and Data  
Weizenbaum-Institut für die vernetzte Gesellschaft - Das deutsche Internet-Institut - 2. Aufbauphase - WI; Teilvorhaben: FOKUS  
Funder
European Commission  
Deutsche Forschungsgemeinschaft -DFG-, Bonn  
Deutsche Forschungsgemeinschaft -DFG-, Bonn  
Bundesministerium für Bildung und Forschung -BMBF-  
Bundesministerium für Bildung und Forschung -BMBF-  
Conference
World Wide Web Conference 2023  
DOI
10.1145/3543873.3587646
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • dynamic data spaces

  • federated system

  • RDF

  • AI

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