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Authors: Emre Goynugur 1 ; Geeth De Mel 2 ; Murat Sensoy 1 ; Kartik Talamadupula 2 and Seraphin Calo 2

Affiliations: 1 Ozyegin University, Turkey ; 2 IBM Research, United Kingdom

ISBN: 978-989-758-220-2

Keyword(s): Internet of Things, IoT, Semantic Web, OWL-QL, Policy, Conflict Resolution.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Autonomous Systems ; Collaboration and e-Services ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Ontologies ; Formal Methods ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Ontologies ; Semantic Web ; Simulation and Modeling ; Soft Computing ; Symbolic Systems

Abstract: With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it manufacturing or home-care automation. However, with the explosion of IoT deployments we have observed in recent years, manually governing the interactions between humans-to-devices—and especially devices-to- devices—is an impractical task, if not an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equip to maintain a bird’s-eye-view of the interaction space. Motivated by this observation, in this paper, we propose an end-to-end framework that (a) automatically dis- covers devices, and their associated services and capabilities w.r.t. an ontology; (b) supports representation of high-level—and expressive—user policies to govern the devices and services in the environment; (c) pro- vides efficient procedur es to refine and reason about policies to automate the management of interactions; and (d) delegates similar capable devices to fulfill the interactions, when conflicts occur. We then present our initial work in instrumenting the framework and discuss its details. (More)

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Paper citation in several formats:
Goynugur E., De Mel G., Sensoy M., Talamadupula K. and Calo S. (2017). A Knowledge Driven Policy Framework for Internet of Things.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 207-216. DOI: 10.5220/0006200402070216

@conference{icaart17,
author={Emre Goynugur and Geeth De Mel and Murat Sensoy and Kartik Talamadupula and Seraphin Calo},
title={A Knowledge Driven Policy Framework for Internet of Things},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={207-216},
publisher={ScitePress},
organization={INSTICC},
doi={10.5220/0006200402070216},
isbn={978-989-758-220-2},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Knowledge Driven Policy Framework for Internet of Things
SN - 978-989-758-220-2
AU - Goynugur E.
AU - De Mel G.
AU - Sensoy M.
AU - Talamadupula K.
AU - Calo S.
PY - 2017
SP - 207
EP - 216
DO - 10.5220/0006200402070216

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