Publication: SeCoMan: a semantic-aware policy framework for developing privacy-preserving and context-aware smart applications
Authors
García Clemente, Félix Jesús ; Gil Pérez, Manuel ; Martínez Pérez, Gregorio ; Huertas Celdrán, Alberto
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Facultad de Informática
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Publisher
Institute of Electrical and Electronics Engineers
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DOI
https://doi.org/10.1109/JSYST.2013.2297707
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info:eu-repo/semantics/article
Description
Abstract
This paper is intended to provide a solution for developing context-aware smart applications preserving the users' privacy in the Internet of Things (IoT). In this sense, we present a framework called Semantic Web-based Context Management (SeCoMan) aimed at offering a set of predefined queries to provide applications with information about indoor location of users and objects, as well as context-aware services. SeCoMan uses a semantic-oriented IoT vision where semantic technologies play a key role. In fact, SeCoMan uses Semantic Web for modeling description of things, reasoning over data to infer new knowledge, and defining context-aware policies. SeCoMan also defines a layered architecture, including functions related to the management of the users' privacy in a manner that accommodate IoT requirements, in addition to not affecting system performance nor introducing excessive overheads. A thorough discussion on other related works, together with some experiments to measure the throughput and scalability, confirm that SeCoMan is a solution that improves the most relevant proposals existing so far.
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Citation
EEE Systems Journal, vol. 10, no. 3, pp. 1111-1124, Sept. 2016
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