Fusion platform and fusion method of heterogeneous multi-source data

Abstract

The invention relates to a fusion platform and a fusion method of heterogeneous multi-source data. The fusion platform includes a data collection unit, a data storage unit, a data standardization unit, a user portrait building unit, a knowledge graph building unit and a visualization unit. The data collection unit is used to collect the heterogeneous multi-source data. The data storage unit is used to cache the heterogeneous multi-source data. The data standardization unit carries out lexical, grammatical and / or semantic analysis on the heterogeneous multi-source data to obtain standardized text data. The user portrait building unit utilizes student tags, which are obtained by quantification, to build user portraits of students. The knowledge graph building unit builds knowledge graphs ofthe students, knowledge graphs of teachers and knowledge graphs of courses, and associates the knowledge graphs of the courses, the knowledge graphs of the students and the knowledge graphs of the teachers to obtain course links, social relationships and teacher-student relationships taking the students as centers. The visualization unit shows the course links, the social relationships and the teacher-student relationships taking the students as the centers.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a multi-source heterogeneous data fusion platform and a fusion method. Background technique [0002] With the rapid development of information technology, today's society has entered the era of information explosion, and the number of student information resources is increasing. However, a large amount of student-related data is stored in multiple information islands, which are difficult to be integrated and correlated, making it impossible for people to fully tap the value brought by big data. However, most of the student information knowledge bases on the market today still belong to the information management system, which has functions such as information query, personal data management, and performance statistics, and cannot provide intelligent retrieval and analysis services to help students better learn. behavior improvement and provide decision support for ...

AI Technical Summary

Problems solved by technology

However, a large amount of student-related data is stored in multiple information islands, which are difficult to integrate and correlate, making it impossible for people to fully tap the value brought by big data

However, most of the student information knowledge bases on the market today still belong to the information management system, which has functions such as information query, personal data management, and performance statistics, and cannot provide intelligent retrieval and analysis services to help students better learn. behavior improvement and decision support for individual career development

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