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

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 journal › Conference article › peer-review

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 language	English
Pages (from-to)	64-71
Number of pages	8
Journal	CEUR Workshop Proceedings
Volume	2213
Publication status	Published - Oct 2018
Event	17th International Semantic Web Conference - Asilomar Conference Grounds, Monterey, United States Duration: 8 Oct 2018 → 12 Oct 2018 Conference number: 17 http://iswc2018.semanticweb.org/ (Link to Conference Website)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

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http://ceur-ws.org/Vol-2213/paper6.pdfLicence: Unspecified

Cite this

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

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.",

author = "Ilias Tachmazidis and Sotiris Batsakis and John Davies and Alistair Duke and Grigoris Antoniou and Clarke, \{Sandra Stincic\}",

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journal = "CEUR Workshop Proceedings",

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T1 - Optimizing a Semantically Enriched Hypercat-Enabled Internet of Things Data Hub (Short Paper)

AU - Tachmazidis, Ilias

AU - Batsakis, Sotiris

AU - Davies, John

AU - Duke, Alistair

AU - Antoniou, Grigoris

AU - Clarke, Sandra Stincic

N1 - Conference code: 17

PY - 2018/10

Y1 - 2018/10

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85054518600

M3 - Conference article

AN - SCOPUS:85054518600

SN - 1613-0073

VL - 2213

SP - 64

EP - 71

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 17th International Semantic Web Conference

Y2 - 8 October 2018 through 12 October 2018

ER -

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

Abstract

UN SDGs

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