期刊
IEEE SYSTEMS JOURNAL
卷 10, 期 3, 页码 1111-1124出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2013.2297707
关键词
Context awareness; Internet of Things (IoT); pervasive computing; privacy preserving; semantic reasoner
类别
资金
- Spanish Ministry of Science and Innovation (MICINN) [TIN2011-28287-C02-02, TIN2012-38341-C04-03]
- European Commission through the European Regional Development Fund
- Seneca Foundation through the Funding Program for Research Groups of Excellence [04552/GERM/06]
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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