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Research on Intelligent Technology Management and Service Platform

Ning Chen1, Hui Li2, Xinxin Fan3, 4, Weiliang Kong1, Yonghong Xie3, 4, *

1 Xinjiang Research Institute of Building Sciences (Co., Ltd.), Urumqi, China.
2 School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
3 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China.
4 Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China.

* Corresponding Author: Yonghong Xie. Email: email.

Journal on Artificial Intelligence 2020, 2(3), 149-155. https://doi.org/10.32604/jai.2020.09888

Abstract

In recent years, there are some problems in science and technology management, such as untimely task supervision and independent information system, which makes it difficult to achieve accurate, quantitative and standardized management. The storage of scientific research test data is scattered, and there are many deficiencies in the management, promotion and use of existing intellectual property. In this paper, on the basis of the knowledge economy, intelligence economy under the conditions of knowledge management concept and cutting-edge technology, technology management and service management related data, information, knowledge, method of blend together. Based on science and technology management, knowledge management as the core of management and service platform of science and technology technical route, main function, construction principles and standards. In order to realize the management systematization of science and technology, intelligent, better educated, multi-level and multi-angle application services.

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APA Style
Chen, N., Li, H., Fan, X., Kong, W., Xie, Y. (2020). Research on intelligent technology management and service platform. Journal on Artificial Intelligence, 2(3), 149-155. https://doi.org/10.32604/jai.2020.09888
Vancouver Style
Chen N, Li H, Fan X, Kong W, Xie Y. Research on intelligent technology management and service platform. J Artif Intell . 2020;2(3):149-155 https://doi.org/10.32604/jai.2020.09888
IEEE Style
N. Chen, H. Li, X. Fan, W. Kong, and Y. Xie "Research on Intelligent Technology Management and Service Platform," J. Artif. Intell. , vol. 2, no. 3, pp. 149-155. 2020. https://doi.org/10.32604/jai.2020.09888



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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