A RDF-Based context filtering system in pervasive environment

Authors:
Xin Lin;Shanping Li;Jian Xu;Wei Shi
Affiliations:
College of Computer Science, Zhejiang University, Hangzhou, P.R.China;College of Computer Science, Zhejiang University, Hangzhou, P.R.China;College of Computer Science, Hangzhou Dianzi University, Hangzhou, P.R.China;College of Computer Science, Zhejiang University, Hangzhou, P.R.China
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
Year:
2005

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Abstract

In pervasive computing community, there is a high interest on context-aware computing. Much work focuses on context reasoning, which deals with high-level abstraction and inference of pervasive contextual information and several prototype systems have been proposed. However, overwhelming contextual information in pervasive computing makes these systems inefficient, even useless. In this paper, we propose an application-oriented context filtering system (ACMR) to deal with above problem. To prevent the pervasive applications from being distracted by trashy contexts, ACMR system only deals with application-related contextual information rather than all the available contextual information. Experiments about ACMR system demonstrate its higher performance than those of previous systems.