Visualization Research of People's Livelihood Service Data based on Knowledge Graph

Yan Liu, Yan Zou, Lihua Yan, Zhijie Jia, Ying He · 2020

Knowledge graph is a kind of directed graph which is used to reflect the relationship between objective world entities. It can acquire a lot of computer readable knowledge by combining with natural language processing technology. It is suitable for processing and mining large-scale and multi-modal massive data. It is a research hotspot in the field of computer knowledge engineering. People's livelihood issues are related to social stability and political stability. Solving people's livelihood problems is an important task for the Party and the state. At present, how to visualize and retrieve relevant data in the field of people's livelihood services is still in its infancy. for the data in this service platform, knowledge graph technology has been used to realize the association and visualization of all kinds of data. it is of great significance and reference value for data mining and analysis in the field of people's livelihood and providing decision support for the government.

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