Data processing method based on knowledge map
A technology of knowledge graph and data processing, which is applied in unstructured text data retrieval, text database clustering/classification, semantic tool creation, etc. It can solve the problems of no public technical solutions for searching test questions, and achieve simplified test question retrieval process, The effect of improving efficiency
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Embodiment 1
[0046] combine figure 1 , this embodiment provides a data processing method based on a knowledge map, including the following steps:
[0047] Step 101: Construct a knowledge map based on the ranking of test questions and teaching and research results, school teaching, teaching materials, and test question difficulty;
[0048] Wherein, the teaching and research knowledge includes test question labels, subject knowledge points, school grades, region-specific knowledge trees, textbook chapters, and subject ability models;
[0049] Step 102: Set search conditions, extract test questions according to the search conditions, wherein, when the search conditions include natural language, convert the search conditions into structured search instructions including knowledge points and search scope, combine the search instructions with the Match the content in the knowledge map and search for test questions;
[0050] Step 103: Perform similarity algorithm, sorting algorithm, and compreh...
Embodiment 2
[0054] combine Figure 2-4 , this embodiment provides a data processing method based on a knowledge map, including the following steps:
[0055] Step 201: Construct a knowledge graph based on the ranking of test questions and teaching and research results, school teaching, teaching materials, and test question difficulty;
[0056] The process of building a knowledge map is as follows: figure 2 shown, including the following steps:
[0057] (1) Model design: clarify the basic attributes of the test field, the applicable concepts of attributes, and the categories or ranges of attribute values;
[0058] The categories of concepts and their examples or value ranges are shown in Table 1:
[0059] Table 1 Categories of concepts and their examples or value ranges
[0060]
[0061] (2) Data sources: mainly include business data, teaching and research knowledge data, subject knowledge, third-party source data, and data crawled from the web. Among them, business-side data includ...
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