Mining Method for Teaching Resource Library of Biological Mathematics Based on Keyword Query

In order to effectively mine teaching resources in the field of biological mathematics, a method for mining a biological mathematics teaching resource library based on keyword queries is proposed. Based on the analytic hierarchy process (AHP), sub-themes for teaching biological mathematics are extracted, and keyword extraction at three levels, sentence, paragraph, and whole text in unit-based text resources, is performed. A keyword similarity measurement method based on importance, defining the range of similarity measurement values between keywords, and ranking the weight of keywords in biological mathematics teaching resources. Extract teaching resource text data items by segmenting the semantic features of biological mathematics teaching resource information based on weighted keywords. Innovatively utilizing the maximal planar bipartite (MPB) tree index structure to mine the teaching resource library of biological mathematics. The experimental results show that the maximum mining time and accuracy of the resource library generated by the design method are 0.04[Formula: see text]s and 93%, respectively. The ability to accurately mine resource data, while continuously increasing the amount of data and the overall mining time, is relatively short. The overall stability of the method is strong, and it can comprehensively query resources of various types and sources, without missing relevant resources due to special formats or sources of resources.