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.
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Hasan, S., Curry, E. (2020). Approximate Semantic Event Processing in Real-time Linked Dataspaces. In: Real-time Linked Dataspaces. Springer, Cham. https://doi.org/10.1007/978-3-030-29665-0_13
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DOI: https://doi.org/10.1007/978-3-030-29665-0_13
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-29665-0
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