Federated Data Integration in Data Spaces

Springer eBooks, pp. 181–194

Abstract

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.

Authors 2

1. Matthias Jarke corresponding Aachen Informatik 5

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany

   Informatik 5 (Information Systems), RWTH Aachen University, Aachen, Germany

2. Christoph Quix

   Fraunhofer Institute for Applied Information Technology · Hochschule Niederrhein

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany

   Hochschule Niederrhein, University of Applied Sciences, Krefeld, Germany