Research on The Philosophical Thinking of Knowledge Chain Model Based on Artificial Intelligence

Yuchen Cui

doi:10.54691/drm9vq03

Authors

Yuchen Cui

DOI:

https://doi.org/10.54691/drm9vq03

Keywords:

Artificial intelligence; Knowledge chain; Knowledge acquisition; Knowledge representation; noumenon.

Abstract

After entering the era of knowledge economy, social development and economic construction are closely related to knowledge and information, which has become an important force to promote economic reform and innovation. In order to improve their core competitiveness, enterprises begin to cultivate a large number of excellent talents who master knowledge and obtain more corporate recognition, and knowledge management is gradually accepted by enterprises. As the realization of knowledge value and value-added innovation need to use the corresponding knowledge chain to complete, but the current academic community is lack of attention to the knowledge chain, practical research is not deep, so the future should be based on knowledge management and artificial intelligence technology theory to explore the corresponding knowledge force model. After understanding the research status of knowledge chain model based on artificial intelligence, this paper clarifies the technical methods of knowledge acquisition and knowledge representation, and constructs ontology method with knowledge chain as the core in combination with philosophical thinking, so as to improve the computer's understanding of language information and expand the application range of corresponding technology.

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References

[1] Ting Zhang, Wentao Zhang. Research on improving Digital Ability in Blended teaching Process based on Artificial Intelligence [J]. Computer Knowledge and Technology: Academic Edition, 2023, 19(11):171-174.

[2] Muhai Hu , Chunxue Peng, Wendi Tian, et al. Research on characteristics of scientific research knowledge in the field of international data security policy from the perspective of literature quantification [J]. Journal of Wuhan Textile University, 2022, 35(6):40-45. (in Chinese)

[3] Mujian Xu, Ting Kong. Research hotspots and trends of artificial Intelligence in the field of international supply chain: Visualization analysis of Knowledge Graph based on CiteSpace [J]. Logistics Technology, 2023, 42(7):5-10.

[4] Weiping Wang. Research on Training Path and mechanism of 3D Digital Innovation Ability of Vocational College students under the background of Intelligent Manufacturing [J]. Silk Road Vision, 2022(30):100-102.

[5] Xiaohua Liu, Feng Deng, Yunsong Tan. Research on Training model of Internet of Things engineering talents under the background of Artificial Intelligence [J]. Computer Knowledge and Technology, 2022(24):96-98.

[6] Yangrui Yang, Yaping Zhu, Sisi Chen, et al. Application of AI chain integrating swarm intelligence strategy in knowledge inference of flood control and disaster relief for DAMS [J]. Journal of Hydraulic Engineering, 2023, 54(9):1122-1132.

[7] Chaonan Wu, Ye Yuan, Yanhua Chen, et al. Research on the integration and upgrading of digital technology innovation Chain and industrial chain -- Taking the new generation of Artificial Intelligence as an example [J]. Scientific Management Research, 2024, 42(1):74-84.

[8] Sheng Sun, Yuegang Zhao. Is the meta-universe all possible worlds? -- Research on epistemology from Thought experiment and time authenticity [J]. Zhejiang Social Sciences, 2023(4):110-118. (in Chinese)

[9] Mengying Sun, Huachao Xiong, Yining Wang, et al. Research on Link design and Key Technologies of Intelligent and simple Semantic Communication [J]. Zte Communication Technology, 2023, 29(2):40-45.

[10] Xinran Xu, Teng-yu Wang, Cai Lu. Research progress of graph neural networks in Knowledge graph construction and application [J]. Exploration of Computer Science and Technology, 2023, 17(10):2278-2299. (in Chinese)

[11] Bo Fan, Guangsheng Jia, Zhi Zhang, et al. Research on key technologies of knowledge service in publishing industry based on topic analysis of terms [J]. Chinese Science and Technology Terminology, 2023, 25(3):44-52. (in Chinese)

[12] Jin Wu, Zhongjian Bai, Ruijin Wang, et al. Curriculum Ideological and political Plan integrating programming and algorithm basis [J]. Software Guide, 2023, 22(6):219-223. (in Chinese)

[13] Jiyuan Ye, Ying Cheng. The concept of information and its relationship with information chain and DIKW chain [J]. Journal of Library Science, 2022, 48(4):39-51. (in Chinese)

[14] Shengli Liu, Yuntao Pan, Xiaoyuan Zhao. External normative perspective of scientific research integrity: Reality driving and academic logic of sampling of national science and technology planning projects [J]. Science and Technology Progress and Countermeasures, 2023, 40(18):101-108.

[15] Geng Peng, Shuai Wang. Quantum leadership: A new approach to the leadership paradigm transformation of university presidents in the Age of digital intelligence [J]. Heilongjiang Higher Education Research, 2024, 42(2):10-17. (in Chinese)