Semantic Integration of Sensor Data with SSN Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems
Summary :
Intelligent transportation systems (ITS) are a set of technological solutions used to improve the performance and safety of road transportation. Since one of the most important information sources on ITS are sensors, the integration and sharing the sensor data become a big challenging problem in the application of sensor networks to these systems. In order to make full use of the sensor data, is crucial to convert the sensor data into semantic data, which can be understood by computers. In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system was tested in a traffic light settings application, allowing to predict and avoid traffic accidents, and also for the routing optimization.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.12 pp.2915-2922
- Publication Date
- 2017/12/01
- Publicized
- 2017/09/15
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016AGP0005
- Type of Manuscript
- Special Section PAPER (Special Section on Frontiers in Agent-based Technology)
- Category
- Artificial Intelligence, Data Mining
Authors
Susel FERNANDEZ
Nagoya Institute of Technology,University of Alcala
Takayuki ITO
Nagoya Institute of Technology
Keyword
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Susel FERNANDEZ, Takayuki ITO, "Semantic Integration of Sensor Data with SSN Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 12, pp. 2915-2922, December 2017, doi: 10.1587/transinf.2016AGP0005.
Abstract: Intelligent transportation systems (ITS) are a set of technological solutions used to improve the performance and safety of road transportation. Since one of the most important information sources on ITS are sensors, the integration and sharing the sensor data become a big challenging problem in the application of sensor networks to these systems. In order to make full use of the sensor data, is crucial to convert the sensor data into semantic data, which can be understood by computers. In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system was tested in a traffic light settings application, allowing to predict and avoid traffic accidents, and also for the routing optimization.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016AGP0005/_p
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@ARTICLE{e100-d_12_2915,
author={Susel FERNANDEZ, Takayuki ITO, },
journal={IEICE TRANSACTIONS on Information},
title={Semantic Integration of Sensor Data with SSN Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems},
year={2017},
volume={E100-D},
number={12},
pages={2915-2922},
abstract={Intelligent transportation systems (ITS) are a set of technological solutions used to improve the performance and safety of road transportation. Since one of the most important information sources on ITS are sensors, the integration and sharing the sensor data become a big challenging problem in the application of sensor networks to these systems. In order to make full use of the sensor data, is crucial to convert the sensor data into semantic data, which can be understood by computers. In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system was tested in a traffic light settings application, allowing to predict and avoid traffic accidents, and also for the routing optimization.},
keywords={},
doi={10.1587/transinf.2016AGP0005},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Semantic Integration of Sensor Data with SSN Ontology in a Multi-Agent Architecture for Intelligent Transportation Systems
T2 - IEICE TRANSACTIONS on Information
SP - 2915
EP - 2922
AU - Susel FERNANDEZ
AU - Takayuki ITO
PY - 2017
DO - 10.1587/transinf.2016AGP0005
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2017
AB - Intelligent transportation systems (ITS) are a set of technological solutions used to improve the performance and safety of road transportation. Since one of the most important information sources on ITS are sensors, the integration and sharing the sensor data become a big challenging problem in the application of sensor networks to these systems. In order to make full use of the sensor data, is crucial to convert the sensor data into semantic data, which can be understood by computers. In this work, we propose to use the SSN ontology to manage the sensor information in an intelligent transportation architecture. The system was tested in a traffic light settings application, allowing to predict and avoid traffic accidents, and also for the routing optimization.
ER -
English
