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Fundamentals of Real-time Linked Dataspaces

  • Edward CurryEmail author
Open Access
Chapter

Abstract

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.

Keywords

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

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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