Research On The Construction Of Curriculum Knowledge Graph Integrating Online And Offline Education Resources

Education is the foundation of national competitiveness and an important manifestation of comprehensive national strength.With the rise of Web 2.0,the scale of data on the Internet has increased dramatically.But the amount of education resources available on the Internet,in addition to enriching people's choices,will also bring about information overload.The use of knowledge maps can organize educational resources in a network manner.Compared with traditional methods,the organization's ability to use resources is stronger,which can effectively solve the problem of information tragedy.Aiming at the shortcomings of massive,disordered,and fragmented Internet education resources,this paper uses the good systemicity of textbook resources as a framework,combined with online and offline educational resources,and focuses on data acquisition,named entity identification,and entity relationships.Extraction,knowledge fusion,and visualization of knowledge maps,a complete set of disciplinary knowledge map construction methods oriented to educational resources is proposed.Taking the "Information Analysis" course in the library and information discipline as an example,the data is obtained from three channels: book textbooks,MOOCs,and blogs to implement the method.It also proposes knowledge maps in the search of educational resources and personalized recommendation of educational resources.Application concept.This article sorts out the distribution and existence of educational resources,especially when the distribution of Internet educational resources is fragmented and fragmented,clarifies the channels for data acquisition,and provides assistance for multi-source data integration in the field of education.Aiming at the particularity of educational resources,a named entity recognition algorithm based on new word discovery + conditional random field + rules and a relationship extraction algorithm based on dependency syntax analysis + conditional random field + rules are designed.Experimental results have shown good results for education.Resource knowledge map construction provides new tools.After the construction of the knowledge map is completed,different educational resources are linked,and the data is stored in the graph database Neo4 j,which facilitates the modification and query of the data,so as to make better use of the educational resources.The results show that the knowledge graph of the "information analysis" course constructed in this paper is based on the entity of data extraction from books and textbooks,supplemented by the entity of data extraction from MOOC and blog data,and reveals the concepts related to information analysis methods in the course and the relationship between concepts.And based on the course knowledge graph,the relationship between knowledge units can be clarified to optimize the course setting.At the same time,the knowledge graph can meet the needs of intelligent search of education resources and personalized recommendation of education resources,solve the problem of information trek,and make the education resources more fully utilized.