ABSTRACT
ABSTRACT
In the era of rapid data expansion, we cannot ignore the impact of large amounts of data on
us. Data visualization is a technology that uses graphic images and other methods to express the
connotation of data. It can bring more intuitiveness to users than simple data display, and users
can easily see information such as the trend of data changes. Therefore, in order to fully grasp
the development hotspots in the professional field, it is very necessary to continuously monitor
the quality of graduation thesis and continuously improve the graduation design process, and
develop a visualization system for graduation thesis. Based on the above analysis, I decided to
make a knowledge map of the graduation thesis and visual prototype system.
This system first conducted a demand analysis of the entire system, and secondly designed a
visualization system based on knowledge graphs and Echarts, realized the construction of the
knowledge graph of the graduation thesis based on the Neo4j graph database, and searched for a
technical knowledge graph through natural language Chinese Word segmentation is used to draw
high-frequency word clouds, analyze the development hotspots in the professional field in recent
years, and visualize other information. Then, based on the development model with separate
front and back ends, the front end uses Vue scaffolding to build front-end projects, and the back
end uses Spring Boot to build End engineering, and integrated JWT, shiro and other frameworks,
and finally deployed and released through the Nginx server to provide a visual system for school
administrators and teachers..
KEY WORDS: knowledge graph ；NLP ；Front and rear separation ；Vue ；Spring Boot ；Neo4j；
Echarts
I
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2022-05-30
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