PhD Dissertations

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    A semantic policy framework for internet of things
    (2018-10-31) Göynügür, Emre; Şensoy, Murat; Şensoy, Murat; Tekin, Ahmet; Sözer, Hasan; Alkaya, A. F.; Özgür, A.; Department of Computer Science; Göynügür, Emre
    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 environments. However, with the explosion of IoT deployments we have observed in recent years, manually managing 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 equipped to maintain a bird's-eye-view of the interaction space. Motivated by this observation, in this thesis, we propose a semantic policy framework that (a) supports representation of high-level and expressive user policies to govern the devices and services in the environment; (b) provides e cient procedures to re ne and reason about policies to automate the management of interactions; and (c) delegates similar capable devices to ful ll the interactions, when con icts occur. We then describe how to combine ontology-based policy reasoning mechanisms with in-use IoT applications to customize and automate device behaviors and discuss how the policy framework can be extended with data federation to handle diverse and distributed data sources. We demonstrate that smart devices and sensors can be orchestrated through policies in diverse settings, from smart home environments to hazardous workplaces, such as coal mines. Lastly, we evaluate our approach using real applications with real data and demonstrate that our approach is scalable under high load of data and devices.