Research Article
Research on the Application of Knowledge Graph in Big Data Analysis
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334385, author={Ling He and Haipeng Guo and Yali Dong and Haijie Wang and Zhu Mei}, title={Research on the Application of Knowledge Graph in Big Data Analysis}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={big data analysis descriptive analysis knowledge graph rdf semantic network}, doi={10.4108/eai.19-5-2023.2334385} }- Ling He
Haipeng Guo
Yali Dong
Haijie Wang
Zhu Mei
Year: 2023
Research on the Application of Knowledge Graph in Big Data Analysis
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334385
Abstract
With the wide and in-depth application of big data technology in various fields, descriptive data analysis plays a more and more important role in big data analysis. Aiming at the descriptive analysis of big data, focusing on the problem identification and data preparation in the data analysis process, starting with extracting data semantics and establishing the logic between data, this paper discusses the application of knowledge graph, studies the knowledge representation in it, and puts forward the method of combining RDF and semantic network to describe data. This idea enriches the means of descriptive analysis of big data, and lays a necessary foundation for further correlation analysis among big data.
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