Research On The Construction And Evaluation Of Knowledge Map In The Field Of Basic Education

The effective utilization of educational resources has always been the problem of our research.With the explosion of information,the information of educational resources on the Internet is more diversified.The development of knowledge graph solves the problem of resource disorder.It uses three main elements.Groups,entities and their related attribute structures represent the knowledge system by the structure of Internet.In recent years,Knowledge Graph has attracted great attention in China and made great progress in the fields of sociology and medicine.However,in the field of education,especially in the field of basic education,Knowledge Graph is not mature enough.The Knowledge Graph of Basic Education represents the network of knowledge in education.Compared with other fields,it is more educational and scientific,and quality control is more important than other fields.Therefore,on this basis,this paper puts forward the construction method and evaluation method of knowledge graph in the field of basic education.This paper first analyzes the shortcomings of the existing basic education field,which brings a new direction for the selection of data,the selection of authoritative textbooks and teachers' books as the main data,the past network teaching plan,and so on.Supplementary data;Secondly,we collected and sorted knowledge dictionaries in the field of basic education,which changed the phenomenon of using ordinary dictionaries to segment data in the past,improved the accuracy of segmentation results,and provided a basis for subsequent entity extraction and entity relationship extraction.Improve the existing entity extraction method of the team,adopt the method of combining statistics and semantics to extract entities in the field of basic education,and add weight distribution to knowledge points,catalogs,compound words and related parts of speech in the TF-IDF algorithm.Relevant tests should be carried out for different disciplines,parameters should be determined,and semantic relations between words should be used to expand entities and reduce the omission of entities.Finally,in the entity relationship extraction,the method based on semantics and association rules is used to extract the entity relationship,and the minimum threshold,support and confidence of different disciplines are tested to determine the best threshold setting,and the string suffix is used at the same time The matching algorithm extracts the classification relationship.In order to verify the validity and feasibility of the knowledge graph construction method in the field of basic education proposed in this article,this article analyzes the results of the knowledge graph construction from the three dimensions of availability,function,and structure.The specific analysis indicators include the credibility of the data.,Permissibility,Timeliness,Accuracy,Completeness,Richness,Interconnection,and Reasonableness,using a combination of quantitative and qualitative methods to evaluate and analyze the results of the knowledge graph.The experimental results show that the construction method adopted in this paper has made certain progress as a whole,especially in accuracy,but further efforts are needed for completeness.The overall content is richer and the structure is more reasonable.In the end,the knowledge map method constructed in this article is not applicable to all disciplines,but it can provide certain help to the follow-up knowledge map in the field of basic education in terms of accuracy.