Policy conflict resolution in IoT via planning

Name: Policy conflict resolution in IoT via planning
Author: Göynügür, Emre, Bernardini, S., Mel, G. de, Talamadupula, K., Şensoy, Murat

İsim	Policy conflict resolution in IoT via planning
Yazar	Göynügür, Emre, Bernardini, S., Mel, G. de, Talamadupula, K., Şensoy, Murat
Basım Tarihi:	2017
Basım Yeri	- Advances in Artificial Intelligence
Konu	IoT, Semantic web, Policy, Conflict resolution, Planning
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0302-9743
Kayıt Numarası	7afa5bb5-85e3-4acd-b043-dae41b779dad
Lokasyon	Computer Science
Tarih	2017
Örnek Metin	With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equipped to maintain a bird’s-eye-view of the environment. Motivated by this observation, in this paper, we present an ontology-based policy framework which can efficiently detect policy conflicts and automatically resolve such using an AI planner.
DOI	10.1007/978-3-319-57351-9_22

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Policy conflict resolution in IoT via planning

Yazar Göynügür, Emre, Bernardini, S., Mel, G. de, Talamadupula, K., Şensoy, Murat

Basım Tarihi 2017

Basım Yeri - Advances in Artificial Intelligence

Konu IoT, Semantic web, Policy, Conflict resolution, Planning

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0302-9743

Kayıt Numarası 7afa5bb5-85e3-4acd-b043-dae41b779dad

Lokasyon Computer Science

Tarih 2017

Örnek Metin With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equipped to maintain a bird’s-eye-view of the environment. Motivated by this observation, in this paper, we present an ontology-based policy framework which can efficiently detect policy conflicts and automatically resolve such using an AI planner.

DOI 10.1007/978-3-319-57351-9_22