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A Hypercat-enabled Semantic Internet of Things Data Hub

Tachmazidis, Ilias, Batsakis, Sotirios, Davies, John, Duke, Alistair, Vallati, Mauro, Antoniou, Grigoris and Stincic Clarke, Sandra (2017) A Hypercat-enabled Semantic Internet of Things Data Hub. In: Proceedings of ESWC 2017: The Semantic Web. Lecture Notes in Computer Science . Springer, pp. 125-137. ISBN 978-3-319-58451-5

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Abstract

An increasing amount of information is generated from the rapidly increasing number of sensor networks and smart devices. A wide variety of sources generate and publish information in different formats, thus highlighting interoperability as one of the key prerequisites for the success of Internet of Things (IoT). The BT Hypercat Data Hub provides a focal point for the sharing and consumption of available datasets from a wide range of sources. In this work, we propose a semantic enrichment of the BT Hypercat Data Hub, using well-accepted Semantic Web standards and tools. We propose an ontology that captures the semantics of the imported data and present the BT SPARQL Endpoint by means of a mapping between SPARQL and SQL queries. Furthermore, federated SPARQL queries allow queries over multiple hub-based and external data sources. Finally, we provide two use cases in order to illustrate the advantages afforded by our semantic approach.

Item Type: Book Chapter
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge

School of Computing and Engineering
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Depositing User: Ilias Tachmazidis
Date Deposited: 15 Aug 2017 08:59
Last Modified: 15 Aug 2017 09:05
URI: http://eprints.hud.ac.uk/id/eprint/32643

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