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Stream and Event Processing Services for Real-time Linked Dataspaces

  • Edward CurryEmail author
Open Access
Chapter

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 

Copyright information

© The Author(s) 2020

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.National University of Ireland GalwayGalwayIreland

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