Applying context summarization techniques in pervasive computing systems

Pervasive computing systems are connected with a number of sensors. The system receives a lot of information continuously from sensors to sense its physical and computational environment. Knowledge management in such systems imposes several challenges such as ubiquity and distributed knowledge acquisition. As the amount of data grows, the query processing efficiency is reduced. We proposed context summarization and use of aggregate information in such systems. The idea is to summarize the received information and try to use this compact and reduced sized information as much as possible to answer user queries. In this paper, we are going to describe some of the techniques that can be employed for such a summarization process