A method and system for knowledge aggregation based on topic map

Abstract

The invention belongs to the field of educational technology and discloses a knowledge aggregation method and a system based on a subject map, which constructs an element knowledge element of the subject map based on a standard knowledge base; constructs a theme map based on a theme; calculates the weight of knowledge element and knowledge element, and calculates the weight of knowledge element and learning resource; calculates the association weights between knowledge tuples and knowledge elements, and calculates the association weights between knowledge tuples and knowledge tuples; defines the deviation degree of personalized topic map and calculates the similarity between topic maps. The invention has the advantages of realizing the organic association of the user's personalized knowledge structure and knowledge, as well as the subject and learning resources, and providing accurate and targeted knowledge service through the association of knowledge elements or knowledge tuples, thereby improving the utilization efficiency of knowledge and realizing the positive effect of knowledge aggregation.

Description

technical field [0001] The invention belongs to the field of education technology, and in particular relates to a knowledge aggregation method and system based on a theme graph. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Knowledge aggregation is a new research direction in the field of education and library information in recent years. It uses data mining, analysis and other methods to aggregate knowledge that may be related to extract the internal relationship between knowledge, thereby constructing multi-dimensional knowledge. System, rational organization of knowledge according to the relationship among learning resources. In the process of learning, we need to summarize the knowledge personalizedly, so as to form the individualized knowledge structure of the learners. [0004] Combined with the existing related research, the current research methods of knowledge aggregation mainly include t...

AI Technical Summary

Problems solved by technology

[0009] (1) In the context of the current massive knowledge resources, the knowledge aggregation method based on intelligence retrieval has a standardized format and strong structure, but at the same time has problems such as high cost and weak scalability, which cannot meet the current computing requirements of educational big data;

[0010] (2) The semantic representation of network-based aggregation methods is not strong enough;

[0011] (3) It cannot solve the problem of linking data involving multiple ontologies to realize question-and-answer retrieval based on natural language

[0012] (4) It is not possible to use common information science and technology to quickly build theme maps based on common information technologies such as relational databases and visualization tools

Images