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  4. Federated Data Integration in Data Spaces
 
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2022
Book Article
Title

Federated Data Integration in Data Spaces

Abstract
Data Spaces form a network for sovereign data sharing. In this chapter, we explore the implications that the IDS reference architecture will have on typical scenarios of federated data integration and question answering processes. After a classification of data integration scenarios and their special requirements, we first present a workflow-based solution for integrated data materialization that has been used in several IDS use cases. We then discuss some limitations of such approaches and propose an additional approach based on logic formalisms and machine learning methods that promise to reduce data traffic, security, and privacy risks while helping users to select more meaningful data sources.
Author(s)
Jarke, Matthias  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Quix, Christoph  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Mainwork
Designing Data Spaces  
Open Access
DOI
10.1007/978-3-030-93975-5_11
Additional full text version
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Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
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