Research on Context Reasoning and Inconsistency Detection in Pervasive Computing
|School||Nanjing University of Posts and Telecommunications|
|Keywords||Pervasive Computing Context-awareness Evidence Reasoning Inconsistency Detection Set Pair Analysis|
Pervasive computing puts forward a model of human-centred. The core idea of Pervasive computing is that it provides users with the personalized service any where and any time when users in pervasive computing environment. In the ubiquitous computing environment, it is no need for users who concentrate on the percent task to care how the work to be completed. Therefore, Pervasive computing integrates the information space into the physical space.In this paper, we introduce what is Pervasive computing and context awareness technology. Then, it summarizes the recent development of pervasive computing and context awareness technology. It also analyzes the difficulties about context awareness technology. First, this paper proposes the way of ontology concept to study the field of abstract because of the characteristics of heterogeneity, diversity and inconsistency of context information in ubiquitous computing environment. And it uses ontology modeling tool which is Protégéto model the various types of context information in this field in accordance with the ontology modeling process. Secondly, it is well know that the inconsistencies in the context will make the inferent engine from the appropriate module to deduce abnormal results of the anomaly. So the paper proposes a context inconsistency detecting method based on set pair analysis theory and gives the calculation of detection processes and programming of the detection module. Then the context of the inconsistency detection enters into inference engine. The paper introduces the evidence theory model to reason the uncertaint context. And, it reasons context to obtain high-level context information by using theory based on evidence of the distance expansion for the level of conflict more than a certain threshold in the context of information. Finally, it designs a scenario to verify the feasibility and effectiveness of the method. Finally, it designs and implements the scenic tour guide-cum-medical and auxiliary systems of thought based on pervasive computing in this paper. It also gives the detailed design of each functional module and verified by testing the feasibility of the software.