A unified semantic knowledge base for IoT

Akshay Uttama Nambi S. N., Chayan Sarkar, R. Venkatesha Prasad, and Abdur Rahim, "A unified semantic knowledge base for IoT", IEEE World Forum on Internet of Things (WF-IoT), 2014.

Abstract

In the Internet of Things (IoT), interoperability among heterogeneous entities is an important issue. Semantic modeling is a key catalyst to support interoperability. In this work, we present a unified semantic knowledge base for IoT that uses ontologies as the building blocks. Most of the current ontologies for IoT mainly focus on resources, services and location information. We build upon the current state-of-the-art ontologies to provide contextual information and set of policies to execute services. Our knowledge base consists of several ontologies viz, resource, location, context & domain, policy and service ontologies. This helps in building a unified knowledge representation for IoT entities. In our knowledge base, we specifically model dynamic environments in which IoT entities operate. Our knowledge base also facilitates service-composition, discovery and modeling for IoT in dynamic environments.

BibTex entry

@inproceedings{nambi2014unified,
    title={A unified semantic knowledge base for IoT},
    author={Nambi, SN and Sarkar, Chayan and Prasad, R Venkatesha and Rahim, Abdul},
    booktitle={Internet of Things (WF-IoT), 2014 IEEE World Forum on},
    pages={575--580},
    year={2014},
    organization={IEEE}
}