Optimizing a Semantically Enriched Hypercat-Enabled Internet of Things Data Hub (Short Paper)

Ilias Tachmazidis, Sotiris Batsakis, John Davies, Alistair Duke, Grigoris Antoniou, Sandra Stincic Clarke

Research output: Contribution to journalConference article

Abstract

Large volumes of data is generated from the increasing num-ber of sensor networks and smart devices. Such data is generated and published in multiple formats, thus highlighting the significance of inter-operability for the success of what has come to be known as the 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 present a series of optimizations applied on the BT Hypercat Data Hub that enabled scalable SPARQL query answering over relational databases and an access control mechanism that filters SPARQL results based on user's subscriptions.

Original languageEnglish
Pages (from-to)64-71
Number of pages8
JournalCEUR Workshop Proceedings
Volume2213
Publication statusPublished - Oct 2018
Event17th International Semantic Web Conference - Asilomar Conference Grounds, Monterey, United States
Duration: 8 Oct 201812 Oct 2018
Conference number: 17
http://iswc2018.semanticweb.org/ (Link to Conference Website)

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Access control
Interoperability
Sensor networks
Internet of things

Cite this

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Optimizing a Semantically Enriched Hypercat-Enabled Internet of Things Data Hub (Short Paper). / Tachmazidis, Ilias; Batsakis, Sotiris; Davies, John; Duke, Alistair; Antoniou, Grigoris; Clarke, Sandra Stincic.

In: CEUR Workshop Proceedings, Vol. 2213, 10.2018, p. 64-71.

Research output: Contribution to journalConference article

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