Combining semantic web and IoT to reason with health and safety policies

Name: Combining semantic web and IoT to reason with health and safety policies
Author: Göynügür, Emre, Şensoy, Murat, Mel, G. de

İsim	Combining semantic web and IoT to reason with health and safety policies
Yazar	Göynügür, Emre, Şensoy, Murat, Mel, G. de
Basım Tarihi:	2018-01-12
Basım Yeri	- IEEE
Konu	Policy framework, OBDA, Planning, Conflict detection, Conflict resolution, Health and safety, Semantic web
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-5386-2715-0
Kayıt Numarası	929facc5-b7ad-4182-8a0d-6ce8e6d46b7a
Lokasyon	Computer Science
Tarih	2018-01-12
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Monitoring and following health and safety regulations are especially important - but made difficult - in hazardous work environments such as underground mines to prevent work place accidents and illnesses. Even though there are IoT solutions for health and safety, every work place has different characteristics and monitoring is typically done by humans in control rooms. During emergencies, conflicts may arise among prohibitions and obligations, and humans may not be better placed to make decision without any assistance as they do not have a bird's-eye-view of the environment. Motivated by this observations, in this paper, we discuss how health and safety regulations can be implemented using a semantic policy framework. We then show how this framework can be integrated into an in-use smart underground mine solution. We also evaluate the performance of our framework to show that it can cope with the complexity and the amount of data generated by the system.
DOI	10.1109/BigData.2017.8258269
Cilt	2018

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Combining semantic web and IoT to reason with health and safety policies

Yazar Göynügür, Emre, Şensoy, Murat, Mel, G. de

Basım Tarihi 2018-01-12

Basım Yeri - IEEE

Konu Policy framework, OBDA, Planning, Conflict detection, Conflict resolution, Health and safety, Semantic web

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-5386-2715-0

Kayıt Numarası 929facc5-b7ad-4182-8a0d-6ce8e6d46b7a

Lokasyon Computer Science

Tarih 2018-01-12

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Monitoring and following health and safety regulations are especially important - but made difficult - in hazardous work environments such as underground mines to prevent work place accidents and illnesses. Even though there are IoT solutions for health and safety, every work place has different characteristics and monitoring is typically done by humans in control rooms. During emergencies, conflicts may arise among prohibitions and obligations, and humans may not be better placed to make decision without any assistance as they do not have a bird's-eye-view of the environment. Motivated by this observations, in this paper, we discuss how health and safety regulations can be implemented using a semantic policy framework. We then show how this framework can be integrated into an in-use smart underground mine solution. We also evaluate the performance of our framework to show that it can cope with the complexity and the amount of data generated by the system.

DOI 10.1109/BigData.2017.8258269

Cilt 2018