Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study

O. Kleine; S. Ebers; Myriam Leggieri

doi:10.1109/SECONW.2015.7328138

Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study

O. Kleine, S. Ebers, Myriam Leggieri

Institute of Telematics

2 Citations (Scopus)

Abstract

The Internet of Things aims to integrate arbitrary things with the Internet. Sadly, the majority of things lacks of the ability to communicate which makes a direct integration with a communication network, i.e., the Internet, impossible. We overcome this limitation by introducing refined versions of Semantic Entities, with special Web Services, representing arbitrary real-world things states using (possibly aggregated) sensor values. Sensors can be considered ubiquitous, e.g., due to the omnipresence of smartphones. Our architecture of a Semantic Web of Things bases on sensors providing their measurements in RDF. We account for the common fact of resource constraints on sensor platforms by introducing a scalable caching mechanism for RDF data within a network of proxies (SSPs). Consequently, the individual Semantic Entities find and aggregate relevant (sensor) data via SPARQL. Besides scalabilty, the proxies also solve the issue of the sensor platforms diversity in terms of communication interfaces.

Original language	English
Title of host publication	SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015)
Number of pages	6
Place of Publication	Seattle, USA
Publisher	IEEE
Publication date	22.06.2015
Pages	1-6
ISBN (Print)	978-1-4673-7391-3
ISBN (Electronic)	978-1-4673-7392-0
DOIs	https://doi.org/10.1109/SECONW.2015.7328138
Publication status	Published - 22.06.2015
Event	12th International Conference on Sensing, Communication, and Networking - Seattle, United States Duration: 22.06.2015 → 25.06.2015 Conference number: SECON Workshops

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

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https://ieeexplore.ieee.org/document/7328138/

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Kleine, O., Ebers, S., & Leggieri, M. (2015). Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study. In SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015) (pp. 1-6). ( Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops)). IEEE. https://doi.org/10.1109/SECONW.2015.7328138

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title = "Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study",

abstract = "The Internet of Things aims to integrate arbitrary things with the Internet. Sadly, the majority of things lacks of the ability to communicate which makes a direct integration with a communication network, i.e., the Internet, impossible. We overcome this limitation by introducing refined versions of Semantic Entities, with special Web Services, representing arbitrary real-world things states using (possibly aggregated) sensor values. Sensors can be considered ubiquitous, e.g., due to the omnipresence of smartphones. Our architecture of a Semantic Web of Things bases on sensors providing their measurements in RDF. We account for the common fact of resource constraints on sensor platforms by introducing a scalable caching mechanism for RDF data within a network of proxies (SSPs). Consequently, the individual Semantic Entities find and aggregate relevant (sensor) data via SPARQL. Besides scalabilty, the proxies also solve the issue of the sensor platforms diversity in terms of communication interfaces.",

author = "O. Kleine and S. Ebers and Myriam Leggieri",

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Kleine, O, Ebers, S & Leggieri, M 2015, Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study. in SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015). Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops), IEEE, Seattle, USA, pp. 1-6, 12th International Conference on Sensing, Communication, and Networking , Seattle, Washington, United States, 22.06.15. https://doi.org/10.1109/SECONW.2015.7328138

Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study. / Kleine, O.; Ebers, S.; Leggieri, Myriam.
SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015). Seattle, USA: IEEE, 2015. p. 1-6 ( Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops)).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study

AU - Kleine, O.

AU - Ebers, S.

AU - Leggieri, Myriam

N1 - Conference code: SECON Workshops

PY - 2015/6/22

Y1 - 2015/6/22

N2 - The Internet of Things aims to integrate arbitrary things with the Internet. Sadly, the majority of things lacks of the ability to communicate which makes a direct integration with a communication network, i.e., the Internet, impossible. We overcome this limitation by introducing refined versions of Semantic Entities, with special Web Services, representing arbitrary real-world things states using (possibly aggregated) sensor values. Sensors can be considered ubiquitous, e.g., due to the omnipresence of smartphones. Our architecture of a Semantic Web of Things bases on sensors providing their measurements in RDF. We account for the common fact of resource constraints on sensor platforms by introducing a scalable caching mechanism for RDF data within a network of proxies (SSPs). Consequently, the individual Semantic Entities find and aggregate relevant (sensor) data via SPARQL. Besides scalabilty, the proxies also solve the issue of the sensor platforms diversity in terms of communication interfaces.

AB - The Internet of Things aims to integrate arbitrary things with the Internet. Sadly, the majority of things lacks of the ability to communicate which makes a direct integration with a communication network, i.e., the Internet, impossible. We overcome this limitation by introducing refined versions of Semantic Entities, with special Web Services, representing arbitrary real-world things states using (possibly aggregated) sensor values. Sensors can be considered ubiquitous, e.g., due to the omnipresence of smartphones. Our architecture of a Semantic Web of Things bases on sensors providing their measurements in RDF. We account for the common fact of resource constraints on sensor platforms by introducing a scalable caching mechanism for RDF data within a network of proxies (SSPs). Consequently, the individual Semantic Entities find and aggregate relevant (sensor) data via SPARQL. Besides scalabilty, the proxies also solve the issue of the sensor platforms diversity in terms of communication interfaces.

U2 - 10.1109/SECONW.2015.7328138

DO - 10.1109/SECONW.2015.7328138

M3 - Conference contribution

SN - 978-1-4673-7391-3

T3 - Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops)

SP - 1

EP - 6

BT - SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015)

PB - IEEE

CY - Seattle, USA

T2 - 12th International Conference on Sensing, Communication, and Networking

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ER -

Kleine O, Ebers S, Leggieri M. Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study. In SWANSITY 2015 - 2nd Workshop on Smart Wireless Access Networks for Smart cITY (IEEE SECON Workshop) (SWANSITY 2015). Seattle, USA: IEEE. 2015. p. 1-6. ( Conference on Sensing, Communication, and Networking - Workshops (SECON Workshops)). doi: 10.1109/SECONW.2015.7328138

Monitoring Urban Traffic using Semantic Web Services on Smartphones - A Case Study

Abstract

UN SDGs

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