Ontology-Based Learning Content Personalized Recommendation

With the rapid development of Internet, Global demand for lifelong education and the modern distance education in depth, asynchronous to education as the main feature of the e-Learning Internet is becoming an important application, meanwhile,to provide users with personalized service is increasingly becoming the urgent needs for e-Learning system.The personalized service is to provide different users with different services according to the user's personality such as interest, hobby,and the level of understanding.Distributed Internet resources and the environment can provide strong technical support for the distance educaton and knowledge services by the way of accessing to the knowledge and collaborative leaning approach.Internet learning resources is becoming richer and richer,but there are still some problems in the application of e-Learning,for example,the personalized learning under dynamic Web heterogeneous environment.In light of these problems, this paper studies deep in the aspects of the semantic knowledge resources and personalized recommendations technology.This paper studies the application of e-Learning in the aspects of learning content personalized recommendation.And comes up with the framework of learning content personalized recommendation system, this paper also studies the technology of the framework.This paper firstly analyzes the personalized recommendation service system service model, the key technology, reviews and summarizes the typical research projects and experimental systems at home and abroad, and comes up with the processing idea and the framework of learning content personalized recommendation system based on ontology. This paper next turns to the discussion of the users interested in modeling technology, which is a key step in realizing personalized function in recommended system, and then studies the four aspects: presentations of models, collection of data, pretreatment of data, studing and updating of models.It thirdly explores in e-Learning environment the application of learning resource standards and learning objects , which support personalized learning in some parts.But learning resource standards have their limitations. They attribute too much emphasis on the specification and can not describe the subjective information of learning materials. And next the in-depth analysis on e-Learning personalized learning points out that the root cause lies in the lack of semantics in resources and the weak sharing mechanisms in system, and this paper constitutes the e-Learning knowledge resources semantic system based on the educational resources Ontology by adapting ontology modeling, integrating e-Learning knowledge model, and gives various ontologies in this system formal definitions and examples of analysis,then proposes using ontology to describe the semantics of e-Learning resources,and realizing e-Learning system in the Semantic Web framework, and improving individualized learning through enhancing semantic interoperability capabilities of e-Learning.The research on personalized recommendation algorithm is the last part of this paper.