On the Knowledge Graphs of Postgraduate Entrance English Examination Based on WordNet and D3.js

To reveal visually the semantic composition of high-frequency words in postgraduate entrance English examination for the students to have better understanding and memorization of the words in the examination outline and the high-frequency words, this paper presents the network structure of these high-frequency words via visualized knowledge graphs and the network structure of the words in the examination outline in WordNet, optimizes further WordNet to draw a concise and lucid semantic network by means of such corpus sources as WordNet (a semantic dictionary), D3.js (a visualized library) and British National Corpus. In the meantime, the paper gives consideration to the time-effectiveness of the content and the examination outline and adopts the test papers of postgraduate entrance English (1) examination during 2015-2020. In addition, a secondary function including the retrieval of long and difficult sentences for the quicker learning of the key content of the examination by the students is derived from the main function of the semantic visualization of the words.