Approximate Semantic Event Processing in Real-time Linked Dataspaces

Souleiman Hasan; Edward Curry

doi:10.1007/978-3-030-29665-0_13

Approximate Semantic Event Processing in Real-time Linked Dataspaces

Souleiman Hasan, Edward Curry

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Chapter › peer-review

Abstract

Within dataspaces, data sources are not necessarily fully integrated or homogeneous in their schematics and semantics. For dataspaces to support a real-time response to situations of interest when a set of events take place, for example from sensor readings, there is a need for a principled approach to tackling data heterogeneity within real-time data processing. In this chapter, we detail techniques for developing dataspace support services for dealing with the semantic heterogeneity of real-time data.

Original language	English
Title of host publication	Real-time Linked Dataspaces
Subtitle of host publication	Enabling Data Ecosystems for Intelligent Systems
Publisher	Springer International Publishing
Pages	209-225
Number of pages	17
ISBN (Electronic)	9783030296650
ISBN (Print)	9783030296643
DOIs	https://doi.org/10.1007/978-3-030-29665-0_13
Publication status	Published - 1 Jan 2019

Keywords

Best-effort
Dataspaces
Event processing
Internet of things
Semantic matching

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10.1007/978-3-030-29665-0_13

Cite this

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KW - Internet of things

KW - Semantic matching

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Approximate Semantic Event Processing in Real-time Linked Dataspaces

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Keywords

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