A Knowledge Driven Policy Framework for Internet of Things

Emre Goynugur, Geeth De Mel, Murat Sensoy, Kartik Talamadupula, Seraphin Calo

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 procedures 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.

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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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