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Title	Automatic Integration And Querying Of Semantic Rich Heterogeneous Data: Laying The Foundations For Semantic Web Of Things
ID_Doc	11339
Authors	Saeed M.R.; Chelmis C.; Prasanna V.K.
Year	2017
Published	Managing the Web of Things: Linking the Real World to the Web
DOI	http://dx.doi.org/10.1016/B978-0-12-809764-9.00012-3
Abstract	Enormous amount of data from physical objects, such as devices comprising Internet of Things (IoT), is being made available through Web APIs on a daily basis. Manual discovery and integration of relevant data sources can be cumbersome. A unified view of relevant data sources is desirable for creating applications for monitoring and decision making. Considerable research has been conducted in the Semantic Web domain in terms of modeling and integrating data from physical devices, which has the potential of becoming one of the foundations for the future of IoT. In this chapter, we present different techniques for modeling semantic rich data using ontologies. We highlight the benefits of semantic modeling in terms of ease of data integration. We then discuss approaches of querying semantically rich data using various techniques aimed at users with different levels of expertise. We present this discussion in the context of how the suite of technologies that have been developed for Semantic Web can facilitate in effective handling of IoT infrastructure. © 2017 Elsevier Inc. All rights reserved.
Author Keywords	Automatic query formulation; Ontologies; RDF; Semantic web; Semantic web of things (SWoT); Smart cities; Smart oilfields; SPARQL

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