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Knowledge graph construction method and system and storage medium

A knowledge map and construction method technology, applied in the direction of semantic tool creation, unstructured text data retrieval, data processing applications, etc., can solve the problem of forgetting knowledge points, not considering the user's forgetfulness of knowledge points, and unable to express the relationship between knowledge points issues of sex and dynamics

Pending Publication Date: 2020-03-31
广东宜学通教育科技有限公司
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Problems solved by technology

However, using a static model to construct a knowledge graph cannot represent the relevance and dynamic development characteristics of knowledge points. Moreover, IRT and BKT technologies assume that users will not forget a certain knowledge point once they have mastered it, and do not take into account the user's understanding of knowledge points. The forgetfulness of the knowledge point causes the user to perform very well in the future when the topic belongs to the knowledge point, but in reality, the situation of forgetting the knowledge point will occur, resulting in the defect of low prediction accuracy

Method used

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  • Knowledge graph construction method and system and storage medium
  • Knowledge graph construction method and system and storage medium
  • Knowledge graph construction method and system and storage medium

Examples

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no. 1 example

[0051] see Figure 1-4 .

[0052] Such as figure 1 As shown, a method for constructing a knowledge graph provided in this embodiment at least includes the following steps:

[0053] S101. Collect initial learning data and store it in the learning resource database, extract ontology terms from the initial learning data according to the subject teaching syllabus and teaching materials, and mark the extracted ontology terms;

[0054]Specifically, for step S101, the initial learning data are collected, including curriculum educational objectives, learning resources, curriculum structure, teaching strategies, practice test question bank, etc. in various fields, and subject experts extract ontology terms from the subject syllabus and teaching materials in advance, There are two ways to label ontology terms: system automatic labeling and manual labeling, which can switch to more efficient labeling methods for different scenarios, improving flexibility and work efficiency.

[0055] ...

no. 2 example

[0092] see Figure 2-5 .

[0093] Such as Figure 5 As shown, an embodiment of the present invention also provides a system for building knowledge graphs, including:

[0094] The data module 100 is used to collect initial learning data and store it in the learning resource database, extract ontology terms from the initial learning data according to the subject teaching syllabus and teaching materials, and mark the extracted ontology terms;

[0095]Specifically, for the data module 100, the initial learning data are collected, including curriculum educational objectives, learning resources, curriculum structure, teaching strategies, and practice test question banks in various fields, and subject experts extract ontology terms from the subject syllabus and teaching materials in advance. , There are two ways to mark ontology terms: system automatic markup and manual markup, which can switch to more efficient markup methods for different scenarios, improving flexibility and work...

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Abstract

The invention discloses a knowledge graph construction method and system and a storage medium. The method comprises the steps: collecting initial learning data, storing the initial learning data in alearning resource database, and carrying out the ontology term extraction and marking of the initial learning data according to a subject teaching outline and teaching materials; inputting the relationship and sequence between each meta-knowledge point, constructing a directed subject knowledge graph through an ontology editor, generating an OWL file, and storing the OWL file in a learning systemin the form of a triple; updating and inputting the learning process state data of the user in real time, and performing multi-knowledge-point modeling on the learning process state data of the user through a DKT algorithm to obtain a learning and mastering state of the user; According to the learning and mastering state of the user, mining the relationship among the knowledge points, and dynamically updating the subject knowledge graph. According to the method, the DKT is tracked based on deep learning, so that a multi-knowledge-point modeling scene is effectively solved, the latest knowledgemastering state of a learner is accurately detected, the knowledge graph is constructed, and the internal relation of knowledge points is obtained.

Description

technical field [0001] The present invention relates to the technical field of educational informatization, in particular to a method, system and storage medium for constructing a knowledge map. Background technique [0002] With the advent of the Internet and the era of big data, traditional education methods are increasingly difficult to meet the growing needs of students for personalized learning. Adaptive online learning has gradually been widely used due to its characteristics of teaching students in accordance with their aptitude and being easy to use. An important part of adaptive learning is student ability assessment and learning resource recommendation, which need to be based on a structured knowledge system in the field of education. Therefore, constructing an educational knowledge graph to support adaptive learning has become an urgent problem to be solved. [0003] During the research and practice of the prior art, the inventors of the present invention found ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06Q50/20
CPCG06F16/367G06Q50/205
Inventor 周敏杨健明陈冠东吴梓聪
Owner 广东宜学通教育科技有限公司
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