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Fundamentals of Real-time Linked Dataspaces


Dataspaces can provide an approach to enable data management in smart environments that can help to overcome technical, conceptual, and social/organisational barriers to information sharing. However, there has been limited work on the use of dataspaces within smart environments and the necessary support services for real-time events and data streams. This chapter introduces the Real-time Linked Dataspace (RLD) as a data platform for intelligent systems within smart environments. The RLD combines the pay-as-you-go paradigm of dataspaces with linked data, knowledge graphs, and (near) real-time processing capabilities. The RLD has been specifically designed to support the sharing and processing of data between intelligent systems within smart environments. We propose a set of specialised dataspace support services to enable the requirements of loose administrative proximity and semantic integration for event and stream systems. These requirements form the foundation of the techniques and models used to process events and streams within the RLD.


  • Data platform
  • Linked data
  • Stream processing
  • Event processing
  • Dataspaces
  • Internet of Things
  • Incremental data management

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Correspondence to Edward Curry .

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Curry, E. (2020). Fundamentals of Real-time Linked Dataspaces. In: Real-time Linked Dataspaces. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29664-3

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