Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case

João Moreira; Luís Ferreira Pires; Marten van Sinderen; Roel Wieringa; Prince Singh; Patrícia Dockhorn Costa; Miguel  Llop

doi:10.1007/978-3-030-13693-2_2

Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case

João Moreira, Luís Ferreira Pires, Marten van Sinderen, Roel Wieringa, Prince Singh, Patrícia Dockhorn Costa, Miguel Llop

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

30 Downloads (Pure)

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 encompasses 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 language	English
Title of host publication	Enterprise Interoperability VIII
Subtitle of host publication	Smart Services and Business Impact of Enterprise Interoperability
Editors	Keith Popplewell, Klaus-Dieter Thoben, Thomas Knothe, Raúl Poler
Place of Publication	Cham
Publisher	Springer
Pages	17-29
Number of pages	13
ISBN (Electronic)	978-3-030-13693-2
ISBN (Print)	978-3-030-13692-5
DOIs	https://doi.org/10.1007/978-3-030-13693-2_2
Publication status	Published - 26 Apr 2019
Event	Interoperability for Enterprise Systems and Applications, I-ESA 2018 - Berlin, Germany Duration: 22 Mar 2018 → 23 Mar 2018 http://iesa2018.ipk.fraunhofer.de/4941/

Publication series

Name	Proceedings of the I-ESA Conferences
Publisher	Springer
Volume	9
ISSN (Print)	2199-2533
ISSN (Electronic)	2199-2541

Conference

Conference	Interoperability for Enterprise Systems and Applications, I-ESA 2018
Abbreviated title	I-ESA
Country/Territory	Germany
City	Berlin
Period	22/03/18 → 23/03/18
Internet address	http://iesa2018.ipk.fraunhofer.de/4941/

Keywords

Semantic interoperability
Early warning system
Internet-of-Things

UN SDGs

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

Access to Document

10.1007/978-3-030-13693-2_2

Cite this

Moreira, J., Ferreira Pires, L., van Sinderen, M., Wieringa, R., Singh, P., Dockhorn Costa, P., & Llop, M. (2019). Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case. In K. Popplewell, K.-D. Thoben, T. Knothe, & R. Poler (Eds.), Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability (pp. 17-29). (Proceedings of the I-ESA Conferences; Vol. 9). Springer. https://doi.org/10.1007/978-3-030-13693-2_2

Moreira, João ; Ferreira Pires, Luís ; van Sinderen, Marten et al. / Improving the Semantic Interoperability of IoT Early Warning Systems : The Port of Valencia Use Case. Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability. editor / Keith Popplewell ; Klaus-Dieter Thoben ; Thomas Knothe ; Raúl Poler. Cham : Springer, 2019. pp. 17-29 (Proceedings of the I-ESA Conferences).

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title = "Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case",

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{\textquoteright} vital signs with ECG medical wearables and the trucks{\textquoteright} 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 encompasses 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.",

keywords = "Semantic interoperability, Early warning system, Internet-of-Things",

author = "Jo{\~a}o Moreira and {Ferreira Pires}, Lu{\'i}s and {van Sinderen}, Marten and Roel Wieringa and Prince Singh and {Dockhorn Costa}, Patr{\'i}cia and Miguel Llop",

year = "2019",

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Moreira, J , Ferreira Pires, L , van Sinderen, M, Wieringa, R, Singh, P, Dockhorn Costa, P & Llop, M 2019, Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case. in K Popplewell, K-D Thoben, T Knothe & R Poler (eds), Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability. Proceedings of the I-ESA Conferences, vol. 9, Springer, Cham, pp. 17-29, Interoperability for Enterprise Systems and Applications, I-ESA 2018, Berlin, Berlin, Germany, 22/03/18. https://doi.org/10.1007/978-3-030-13693-2_2

Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case. / Moreira, João ; Ferreira Pires, Luís ; van Sinderen, Marten et al.
Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability. ed. / Keith Popplewell; Klaus-Dieter Thoben; Thomas Knothe; Raúl Poler. Cham: Springer, 2019. p. 17-29 (Proceedings of the I-ESA Conferences; Vol. 9).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Improving the Semantic Interoperability of IoT Early Warning Systems

T2 - Interoperability for Enterprise Systems and Applications, I-ESA 2018

AU - Moreira, João

AU - Ferreira Pires, Luís

AU - van Sinderen, Marten

AU - Wieringa, Roel

AU - Singh, Prince

AU - Dockhorn Costa, Patrícia

AU - Llop, Miguel

PY - 2019/4/26

Y1 - 2019/4/26

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 encompasses 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 encompasses 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

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PB - Springer

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ER -

Moreira J , Ferreira Pires L , van Sinderen M, Wieringa R, Singh P, Dockhorn Costa P et al. Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case. In Popplewell K, Thoben KD, Knothe T, Poler R, editors, Enterprise Interoperability VIII: Smart Services and Business Impact of Enterprise Interoperability. Cham: Springer. 2019. p. 17-29. (Proceedings of the I-ESA Conferences). doi: 10.1007/978-3-030-13693-2_2

Improving the Semantic Interoperability of IoT Early Warning Systems: The Port of Valencia Use Case

Abstract

Publication series

Conference

Keywords

UN SDGs

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