Ontology-based Adaptive E-learning System Modeling In Semantic Learning Web

As information increases explosively, the diversity and heterogeneity of knowledge in different domains make it difficult to represent and share knowledge. Meanwhile, the adaptive learning pattern is favored by more and more learners, and how to acquire the knowledge in need from complex knowledgebases and construct personal knowledge system has recently become a hot spot of research. Semantic learning web, which combines semantic web and web-based education technologies, shed lights on the development of modem education, and provide learners more efficient and high-quality intelligent services. This paper, which based on semantic learning web, semantically described domain knowledge and user pattern using Ontology technology, presented the architecture of ontology-based adaptive e-learning system (OntoAES) , provided the platform for knowledge acquiring and sharing, and also provided learners with effective learning services based on personal knowledge spaces and preferences.Firstly, various theory models of teaching and learning processes were studied; the definition and description of learning behaviors in those theory models were analyzed; based on different characteristics of the learning behaviors, the features and requirements of the adaptive e-learning process was studied in order to provide the theory architecture and behavior model for the adaptive e-learning system; how to present knowledge space was studied, domain knowledge model and user knowledge space model were established.Secondly, the features of domain knowledge was studied; as the complexity and diversity of domain knowledge and the lack of ontology engineering technology for domain experts make it difficult to develop domain ontology, the method to establish ontology based on knowledge engineering was proposed; the method to extract domain knowledge concepts, define concepts hierarchical structure and construct the relationship models were presented. The construction process to build domain ontology was simplified. Thirdly, computer science was choosen as the research domain, based on the domain knowledge space model, the knowledge taxonomy architecture and concept sets were constructed, and domain knowledge ontology was built. On the basis of E-learning standards, learning resources description Ontology was established, which provided more semantics to learning resources description model and more space to be expanded.Fourthly, the user information model and user knowledge space model were studied, the user model Ontology was built. The user information sub-Ontology to describe user's basic information, the user preference sub-Ontology to describe user's preference information, user performance sub-Ontology to describe user's performance information along with the user competency Ontology to describe user's learning skills were established respectively. The semantic association among user model ontology, domain knowledge ontology and learning resources description Ontology was analyzed. A well-modeled basis was build for the adaptive e-learning system.Finally, the functional modules and system architecture of the ontology-based adaptive e-learning system (OntoAES) were presented, the correlation and application pattern between various Ontology and system modules were studied. The adaptive e-learning steps and process of the OntoAES were discussed. Based on analysis of user learning behavior records, the analysis and definition of the potential learning resource relation pattern based on users' use of log, the relation model and user preference model were acquired through information extraction and data mining technologies. Learning path information in Domain knowledge and user preference information could be refreshed; the model and method this paper presents were verified.The main contributions are as follows:1) Present the relation model of knowledge space, and method to build domain knowledge Ontology based on knowledge engineering;2) establish the Ontology of computer science domain and user model Ontology, present the architecture of the Ontology-based adaptive e-learning system;3) Define the adaptive e-learning rules based on Ontology, build the matching model between user preference ontology and study resource description ontology, study resource relation model and preference model based on data using.This paper provides the basis and guidance for establishing the ontology of the Education Semantic Web, and design and building of the adaptive e-learning system. The future work includes the perfection of the ontology and the function of the adaptive e-learning system, the study of the matching model in ontology as well as the rules of adaptive e-learning based on ontology, and to provide learners an intelligent and efficient learning system.