Knowledge graph retrieval method of digital teaching resources of college English courses
Existing retrieval methods are difficult to process the deep correlation and semantic understanding of data,resulting in low retrieval efficiency and poor correlation of results.Therefore,this paper proposes the retrieval method of digital teaching re-sources of college English courses for knowledge graph.The paper first extracts the characteristics of the digital teaching resources of college English courses,and establishes the index of college English course teaching resources.Then,in order to ensure the ac-curate and efficient retrieval,redundant and highly similar data is eliminated,the correlation detection between index and features is strengthened,and digital teaching resources are output based on knowledge graph retrieval technology.The test results show that the matching degree of the retrieval content of digital teaching resources in college English courses based on knowledge graph is as high as 99.9%,and the retrieval time is only 18ms,which proves that this method can effectively realize the matching of digital teaching resources,improve user experience,and the application effect is good.
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