The Personalized Service Model Based On RDF

Alonge with the World Wide Web's appearance in 1990, WWW developed amazingly. The anount of information on the Internet increased exponentially. And the users using Internet can't accept so much information contained by Internet. When the users receive available information, the users accept a great deal of unavailable information unwillingly . Now it is become the key probolem attended by the users using Internet and the operators of web-stations that how the users can obtain availabel information and how the web-station's operators can recommend the information what the users are interesting in. In the thesis, it is presented that a personalized service model based on RDF meta-data collection. The next is the main contend of the thesis.(1) The paper processed a study about the personalized service models existing and analyzed the core technology of those models. The part of the study is important for comprehending the last technology of the personalized service. (2) In the dissertation , we were engaged in research about the users' interests retrieval and expression in personalized service. Then we summarized the core problem of the users' interests retrieval and expressionï¼›analyzed the arithmetics about the retrieval and expression. At last we advanced a new arithmetic of users' interests retrieval and a new method based on RDF meta-data collection to express users' interests . The experiment about the arithmetics proves that it can retrieval and express users'interests . (3)In our study,we created a web-information filtering arithmetic according to the user's interests.The core of the arithmetic is using RDF meta-data collection to denote the web-information before filtering,then comparing the web-information's RDF denotation with user's interests expressing in RDF. The arithmetic's virtues are the speed of filtering , high veracity , ect. (4)In the dissertation, there are a few methods for users to communicate with the system. So the users can control the system across-the-aboard .In our study , we use RDF meta-data collection to express users' interests andweb information resource, use Agent technology to mine the history information of the users' access log of Internet , and summarize users' interests. Then we provide distinct service for different user according to the their respective interests. The study about the model is importance to provide personalized service for the users using Internet.