Research On Obtaining Context Based On Social Tagging In Ubiquitous Computing Environment

With the development of ubiquitous network, universal computing, sensor technology and mobile communication technology, a user-centered ubiquitous computing environment has being formed. How to get the right information from the "big data" to meet personal needs of "on-demand" information service, Those has become the key issue needs to be solved by new information service system during ubiquitous computing environment. Context-aware system obtains personal context through the sensing devices and other channels, and pushes contextual information resource or service for the user. The first step during achieving context-aware service is obtaining context, the existing patterns of obtaining context cannot meet the acquisition of large and dynamic context in ubiquitous computing environment. The idea of public participation, open and dynamic tag pattern in social tagging have provided possibility for obtaining context which is dominant by the masses, open and dynamic. For these reasons, the paper combine project supported by National Natural Science Foundation of China called “Research on social-driven context-aware personalized information service in ubiquitous computing environment”(project NO.:71471165), and Natural Science Foundation of Zhejiang Province project called “Research on information search for wisdom tourism based on the socialization of context aware method”(project NO.: LY15G010010), do the Research on Obtaining Context based on Social Tagging in Ubiquitous Computing Environment, and the main work of this thesis is as follows:(1) The paper constructed the model of obtaining context based on social tagging, started from analyzing the similarity between social tagging and model of obtaining context, including the correspondence in the ternary structure, structural properties, and relationship between the two systems. Those analysis show that sharing properties of resource and tag in social tagging system can be ported to the model of obtaining context, and provides lots of aid for obtaining context. Finally the paper constructed the model of obtaining context based on social tagging.(2) The paper analyzed the mechanism of obtaining context based on social tagging, started from the process of obtaining context, elaborated the recommended and retrieval mechanism about logical context information in detail, the mechanism about Interactive interface between user and system, the mechanism about Interactive selection between user and system, and analyzed the reason about their appearing, the content about them, their influence for obtaining context.(3) The paper designed experiments to explore the effects for obtaining context in different mechanisms, three experiments were designed for these three mechanisms, including experiment about the recommended and retrieval mechanism about logical context information, experiment about the mechanism about Interactive interface, experiment about the mechanism about Interactive selection between user and system,with methods including questionnaire and simulation. Finally, were analyzed and discussed the results of these three experiments, we found the recommended and retrieval mechanism about logical context information we designed can be effective to recommend a suitable logic contextual information for users, that is to say the model we constructed has higher effectiveness than the model predefined by few of experts, At the same time adjusting the list of recommended contextual information appropriately can improve the ability and effect to obtain context, user behavior on the initiative marked physical context can effectively improve the effectiveness of obtaining context.