Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case

João Luiz Moreira, Marten J. van Sinderen, Luis Ferreira Pires, Roelf Johannes Wieringa, Prince Mayurank Singh, P. Dockhorn Costa, Miguel Llop

Research output: Contribution to conferencePaperAcademicpeer-review

Abstract

An early warning system (EWS) is a distributed system that monitors the physical world and issues warnings if it detects abnormal situations. The Internet-of-Things (IoT) offers opportunities to improve monitoring capabilities of EWS and to realize (near) real-time warning and response. This paper presents the development of an interoperable IoT-based EWS to detect accident risks with trucks that deliver goods at the Valencia port area. Our solution addresses the semantic integration of a variety of data sources with processing in safety-critical applications for effective emergency response. The solution considers existing domain-specific ontologies and standards, along with their serialization formats. Accident risks are assessed by monitoring the drivers’ vital signs with ECG medical wearables, and the trucks’ position with speed and accelerometer data. Use cases include the detection of health issues and vehicle collision with dangerous goods. This EWS is developed with the SEMIoTICS framework, which encom-passes a model-driven architecture that guides the application of data representations, transformations and distributed software components. This framework enables an EWS to act as a semantic broker for situation-aware decision support.
Original languageEnglish
Publication statusPublished - 1 Nov 2018
EventInteroperability for Enterprise Systems and Applications 2018 - Berlin, Germany
Duration: 22 Mar 201823 Mar 2018
http://iesa2018.ipk.fraunhofer.de/4941/

Conference

ConferenceInteroperability for Enterprise Systems and Applications 2018
Abbreviated titleI-ESA 2018
CountryGermany
CityBerlin
Period22/03/1823/03/18
Internet address

Fingerprint

Alarm systems
Interoperability
Semantics
Trucks
Accidents
Monitoring
Electrocardiography
Accelerometers
Ontology
Internet of things
Health
Processing

Keywords

  • Semantic interoperability
  • Early warning system
  • Internet-of-Things

Cite this

Moreira, J. L., van Sinderen, M. J., Ferreira Pires, L., Wieringa, R. J., Singh, P. M., Dockhorn Costa, P., & Llop, M. (2018). Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case. Paper presented at Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany.
Moreira, João Luiz ; van Sinderen, Marten J. ; Ferreira Pires, Luis ; Wieringa, Roelf Johannes ; Singh, Prince Mayurank ; Dockhorn Costa, P. ; Llop, Miguel . / Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case. Paper presented at Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany.
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Moreira, JL, van Sinderen, MJ, Ferreira Pires, L, Wieringa, RJ, Singh, PM, Dockhorn Costa, P & Llop, M 2018, 'Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case' Paper presented at Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany, 22/03/18 - 23/03/18, .

Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case. / Moreira, João Luiz; van Sinderen, Marten J.; Ferreira Pires, Luis ; Wieringa, Roelf Johannes; Singh, Prince Mayurank; Dockhorn Costa, P.; Llop, Miguel .

2018. Paper presented at Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany.

Research output: Contribution to conferencePaperAcademicpeer-review

TY - CONF

T1 - Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case

AU - Moreira, João Luiz

AU - van Sinderen, Marten J.

AU - Ferreira Pires, Luis

AU - Wieringa, Roelf Johannes

AU - Singh, Prince Mayurank

AU - Dockhorn Costa, P.

AU - Llop, Miguel

PY - 2018/11/1

Y1 - 2018/11/1

N2 - An early warning system (EWS) is a distributed system that monitors the physical world and issues warnings if it detects abnormal situations. The Internet-of-Things (IoT) offers opportunities to improve monitoring capabilities of EWS and to realize (near) real-time warning and response. This paper presents the development of an interoperable IoT-based EWS to detect accident risks with trucks that deliver goods at the Valencia port area. Our solution addresses the semantic integration of a variety of data sources with processing in safety-critical applications for effective emergency response. The solution considers existing domain-specific ontologies and standards, along with their serialization formats. Accident risks are assessed by monitoring the drivers’ vital signs with ECG medical wearables, and the trucks’ position with speed and accelerometer data. Use cases include the detection of health issues and vehicle collision with dangerous goods. This EWS is developed with the SEMIoTICS framework, which encom-passes a model-driven architecture that guides the application of data representations, transformations and distributed software components. This framework enables an EWS to act as a semantic broker for situation-aware decision support.

AB - An early warning system (EWS) is a distributed system that monitors the physical world and issues warnings if it detects abnormal situations. The Internet-of-Things (IoT) offers opportunities to improve monitoring capabilities of EWS and to realize (near) real-time warning and response. This paper presents the development of an interoperable IoT-based EWS to detect accident risks with trucks that deliver goods at the Valencia port area. Our solution addresses the semantic integration of a variety of data sources with processing in safety-critical applications for effective emergency response. The solution considers existing domain-specific ontologies and standards, along with their serialization formats. Accident risks are assessed by monitoring the drivers’ vital signs with ECG medical wearables, and the trucks’ position with speed and accelerometer data. Use cases include the detection of health issues and vehicle collision with dangerous goods. This EWS is developed with the SEMIoTICS framework, which encom-passes a model-driven architecture that guides the application of data representations, transformations and distributed software components. This framework enables an EWS to act as a semantic broker for situation-aware decision support.

KW - Semantic interoperability

KW - Early warning system

KW - Internet-of-Things

M3 - Paper

ER -

Moreira JL, van Sinderen MJ, Ferreira Pires L, Wieringa RJ, Singh PM, Dockhorn Costa P et al. Improving the semantic interoperability of IoT Early Warning Systems: the Port of Valencia use case. 2018. Paper presented at Interoperability for Enterprise Systems and Applications 2018, Berlin, Germany.