Research On Automatic Collection Technology Of Teaching Resources Based On Ontology Knowledge Base

The Web Information resources are extremely rich. No doubt, it will be a great advancement in education informationization by automatically collecting educational resources on the Web with technological means, in order to construct various teaching resource repositories and provide information resource services. However, in face of the increasing Web scale as well as increasingly complicated page structures, the research on how to efficiently collect educational resources from Internet with limited resource pool and restricted acquisition scale has important academic meaning and practice value.This paper systematically researches into automatic acquisition technology of the topic information resources, discusses the topic crawling technology, automatic text categorization, automatic text extraction, ontology and ontology knowledge inference and so on. Finally, the paper discusses the application of those technologies in automatically acquiring Web teaching resources.This paper analyzes distribution law of Web topic resources from ecological perspective, provides the theory of Network Ecological Chain, designs Network Ecological Chain Algorithm based on this theory. The paper provides a top-down method of acquiring topic information resources, which combines the judgment of site's topic characteristic and the prediction of specific link target. That's to say, through Network Ecological Chain Algorithm, assisted by such technologies as Automatic Text Categorization, Automatic Text Extraction and Ontology Knowledge Inference, we firstly find topic-web group from the Web, then based on the topic characteristic of web sites, Pages and text adjacent to links, we selectively collect specific link targets with topic crawling algorithm. In this way, we can solve disoriented problem in topic crawling effectively, and increase the harvest rate in acquiring topic information resources.To promote the predict ability of link targets in topic crawling, this paper mainly study ontology technology and its application in automatically acquiring web teaching resources. It discusses ontology language, construction method of ontology and ontology development. We tentatively build educational ontology knowledge repository, develops an educational ontology knowledge inference engine, and explore the specific application of this engine. Considering the Openness and standardization of ontology, the construction of educational ontology knowledge repository can bring about knowledge reuse through co-construction and sharing. At last, the paper designs and develops an automatic Web teaching resources acquisition prototype system, and verifies the efficiency of all technologies with an example of automatically acquiring moral educational resources.The main work and innovation of this paper are as follows:it systematically studies the automatic acquisition technology of topic information resources, provides the theory of network ecological chain, designs network ecological chain algorithm and verifies its efficiency, applies ontology technology to the construction of educational knowledge repository, tentatively develop an educational ontology knowledge inference engine and explorer its application in automatic Web teaching resources acquisition. The research in this paper can provide sort of theoretical guide and technical support.