Knowledge database construction method based on knowledge module and query method and system

Abstract

The invention discloses a knowledge database construction method based on a knowledge module and a query method and system. The knowledge database construction method based on the knowledge module comprises the steps that 1, a plurality of subject knowledge trees are constructed, wherein the number of the subject knowledge trees is the same as that of subjects; 2, according to the known knowledge context cohesion relations shown in first-stage catalogues of different courses, address pointers of all nodes in the subject knowledge trees are used for correlating child nodes of sub-trees of all the subject knowledge tress conforming to the relations, a plurality of catalogue knowledge data chain tables are stored into a knowledge database, and finally the whole knowledge database is constructed. Knowledge can be obtained, organized and shown in a visual mode, and a foundation is laid for a follow-up user for improving query requirement accuracy and query efficiency.

Description

Technical field [0001] The invention belongs to the field of data processing, and in particular relates to a knowledge database construction method, query method and system based on knowledge modules. Background technique [0002] In the field of education, discipline refers to the functional units of university teaching and scientific research, and it is a relative definition of the subordinate scope of university personnel training, teacher teaching, and scientific research. The undergraduate education majors in my country's colleges and universities are set up in three levels: "discipline category", "discipline category (first-level discipline)", and "specialty" (second-level discipline). According to the National Catalogue of Disciplines and Majors for Granting Doctoral Degrees, Masters Degrees and Training Postgraduates issued by the country in 2011, it is divided into philosophy, economics, law, education, literature, history, science, engineering, agriculture, medicine, mi...

AI Technical Summary

Problems solved by technology

However, due to the intersection of corresponding subject knowledge, the corresponding knowledge content in a certain course may be the same as the knowledge content in another course, or the corresponding knowledge content in one course is the basis of the knowledge content in another course, but now Some of these electronic data do not reflect the correlation between these data, so although the results can be retrieved through keywords, but the relationship network of these keywords is not presented to the queryer, and the queryer needs to spend a lot of time to further organize , therefore, the user experience is poor and cannot meet the needs of users who query the knowledge network

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