Compared with traditional security authorized mechanisms, trust management is a more competitive, direct, efficient and sound distributed authorization, which can be adapted to grid applications development. This paper studies the key part of trust management system——trust models. Two behavior-based trust models: basic network behavior-based trust model and trust intermediary-based model are studied and analyzed. The paper analyses their advantages and weaknesses respectively. Some future outlook for grid trust models is offered.
Great attention is paid to pervasive computing system ever since it is proposed in the 1990s. The context-aware is one of the critical problems in the system. With introduction of the context-aware system and the modules in it, the rapid prototype model in software methodology is utilized. It gives a simple example using OWL language to state the construction process of sensor module within the system.
Semantic technology can improve the analyzing accuracy of the Web documents. Two semantic technologies are introduced in this paper: concept semantic technology and formalization semantic technology. The concept semanteme based on non-negative matrix factorization is a novel method, which can consider the concept semantic accuracy and the complexity of algorithm. Ontology is a current formalization semantic technology. Ontology-based information systems suffer from the problem of ontology heterogeneity. It introduces the definitions of simplified multielement bounds to find the best approximations of the concepts, and presents the idea for searching the simplified multielement bounds.