Smart Rooms: A Framework for Inferencing Using Semantic Web Technology in Ambient Intelligent Network

Smart Rooms: A Framework for Inferencing Using Semantic Web Technology in Ambient Intelligent Network

Biplab K. Sarker (University of New Brunswick, Canada), Julian Descottes (University of New Brunswick, Canada), Mohsin Sohail (University of New Brunswick, Canada) and Rama Krishna Kosaraju (University of New Brunswick, Canada)
DOI: 10.4018/978-1-4666-0203-8.ch016
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Abstract

In this chapter, the authors present a framework to provide useful and accurate information to users based on data collected from rooms in a building comprised of wireless sensor networks. The authors call a room “smart room” when a room is considered suitable for a particular purpose. For instance, a dark room for a conference, a bright room for a party, et cetera, which can be determined according to the data available from various positions of sensors located in each room and a sensor network of a building. The authors undertook the task of designing a semantic inferencing framework for a smart room. This led to automatic extraction of information from the central repository or even when the data is in a transient state (dynamic) in the network. The chapter discusses a practical way of building a query system using semantic Web technology and tools. Similar systems are becoming more feasible nowadays, and industrial leaders are moving forward to build them from commercial view point. The chapter is concluded with some future directions of the system.
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Smart Room Framework

The steps to create a framework and tools used are given below (see also Figure 1).

Figure 1.

The Smart Room framework and tools used

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