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Construction of a Multi-source Data Analysis Framework Based on Artificial Intelligence

Hui Zheng

Abstract


Building a multi-source heterogeneous data framework for artificial intelligence, comprehensively understanding the current development status of artificial intelligence play a key role in showcasing the development trend of artificial intelligence and promoting disruptive development in multiple industries. On the basis of defi ning the artificial intelligence data resource system, the article selects journal articles, core patents, and industry reports as clue data to reveal the development of artificial intelligence, and constructs a multi-source data analysis framework based on artificial intelligence. At the same time, this paper puts forward policy recommendations to strengthen the key technologies of artificial intelligence, improve the technological innovation level of enterprises, and promote the international artificial intelligence technology linkage, so as to provide reference for improving the development level of artificial intelligence in China.

Keywords


Artificial intelligence; Multi-source data analysis; D-S evidence reasoning method

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References


[1] Fang Yanqiong, Tang Shengwei, Gu Bochuan, et al. Data Fusion Based on Binary Identifier and Improved D-S Theory [J]. Journal of Electrical Engineering, 2019, 16 (03) : 184-191.

[2] Li Li, Cui Leilei, Wu Xinnian, et al. Research on Situation of Artificial Intelligence Industry from the Perspective of a Comprehensive Chain Based on Multi Source Data[J]. Science and Technology Management Research, 201, 41 (21) : 100-111.




DOI: http://dx.doi.org/10.18686/ahe.v8i6.13533

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