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Stream and Event Processing Services for Real-time Linked Dataspaces

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Abstract

The goal of Real-time Linked Dataspaces is to support a real-time response from intelligent systems to situations of interests within a smart environment by providing data processing support services that follow the data management philosophy of dataspaces and meet the requirements of real-time data processing. This part of the book details support services to process streaming and event data which support loose semantic integration and administrative proximity. Support services include entity-centric queries, complex event processing, stream dissemination, and semantic matching for heterogeneous events. The goal of these services is to support a real-time linked dataspace to get setup and running with a low overhead for administrative and semantic integration costs (e.g. establishing data agreements, service selection, and service composition).

Keywords

  • Stream processing
  • Event processing
  • Real-time query
  • Entity-centric
  • Lambda architecture

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Correspondence to Edward Curry .

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Curry, E. (2020). Stream and Event Processing Services for Real-time Linked Dataspaces. In: Real-time Linked Dataspaces. Springer, Cham. https://doi.org/10.1007/978-3-030-29665-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-29665-0_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29664-3

  • Online ISBN: 978-3-030-29665-0

  • eBook Packages: Computer ScienceComputer Science (R0)