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

Authors :
Yan Zou
Ying He
Lihua Yan
Yan Liu
Zhijie Jia
Source :
2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA)
Accession number :
edsair.doi...........e7a7e117e464cfdf2caa589aeca1a669
Full Text :
https://doi.org/10.1109/iciba50161.2020.9277044