The Research and Implementation of Intelligent Reading Assistant System Framework Based on Knowledge Graph

As an significant form of language skills, reading comprehension teaching frequently requires educators to invest a great deal of energy in analysising and designing exercises for articles. Educators aren't capable of analyzing the reading comprehension ability or making personalized plan for every student just relying on manpower. In this paper, we propose an intelligent reading assistant system which provides learners with cognitive assistance in the reading process through the automatic generation model of article knowledge graphs and able to generate exercises through the question chain model based on text knowledge graphs. The system also can construct a learner's reading ability report based on the learner's profile and make a personalized learning path. The system promotes the efficiency of reading comprehension teaching, realizes personalized education and brings new research trends to reading comprehension teaching.