In recent years,with the rapid development of artificial intelligence technology,many countries have set up relevant courses to cultivate new talents in this field.However,the artificial intelligence knowledge system is huge,with abundant resources and lack of unified description of knowledge level,resulting in teachers’ lack of uniformity at the cognitive level,and the implementation effect is not ideal.At present,artificial intelligence education in senior high schools in China is still in the exploratory stage.Some scholars have also carried out relevant researches,but the existing researches mostly focus on the analysis of artificial intelligence teaching materials and the design of teaching content,etc.,while there are few researches on the effective expression and organization of artificial intelligence knowledge and resources.Therefore,how to effectively describe and organize the artificial intelligence education knowledge and resources in high school is an urgent problem to be studied and solved.Knowledge base is an effective knowledge management tool in the era of knowledge explosion,which can effectively represent and store knowledge,and the construction of knowledge base is often based on ontology.Ontology,as a conceptual model that can organize and describe knowledge,has been generall researched and applied in many fields.Therefore,this article aims to realize the integration of high school artificial intelligence knowledge and resources and promote the dissemination and sharing of artificial intelligence knowledge,using ontology technology to construct a high school artificial intelligence education knowledge base system to realize the effective organization of knowledge and resources of the subject.To a certain extent,it provides help for teachers to carry out artificial intelligence education and teaching work and for students to learn knowledge of the subject.The main research work of this paper is as follows:(1)Analysis and description on the construction of high school artificial intelligence subject knowledge and its resources.This study analyzes the curriculum standards of AI in senior high schools and the content of AI-related textbooks,divides the subject knowledge system of AI in senior high schools,and clarifies the coverage and target requirements of AI in senior high schools.And based on the LOM learning object metadata model,a management standard suitable for AI education knowledge resources in senior high school is designed.(2)Research on ontology construction of artificial intelligence subject in senior high school.Firstly,based on the "seven-step method" of ontology construction and the idea of cyclic iteration in software engineering,this paper designs an ontology construction process suitable for high school artificial intelligence discipline.Secondly,based on this process,determines the knowledge classification system of high school AI subject ontology concept,attribute,relationship and instance,constructs a high school AI subject ontology prototype.Finally,use the Jena ontology language parsing tool to realize the formal storage of the subject ontology.(3)Design and Development of Knowledge Base Prototype System for Artificial Intelligence Education in Senior High School.Taking the ontology of high school AI as the prototype,the design and development of high school AI education knowledge base prototype system with the main functions of knowledge user registration,high school AI knowledge browsing,knowledge retrieval and knowledge management are realized,which makes the high school AI education knowledge and resources effectively managed and shared. |