Designing Smart Knowledge Services with Sci-Tech Big Data
Li Qian(),Jing Xie,Zhijun Chang,Zhenxin Wu,Dongrong Zhang
National Science Library, Chinese Academy Sciences, Beijing 100190, China Department of Library, Information and Archives Management, University of Chinese Academy of Sciences, Beijing 100190, China
[Objective] This paper investigates the issues facing scientific and technology knowledge services. It tries to design smart knowledge service based on big data, which provides semantic retrieval, precision information push, collective intelligence and intelligent analysis services. [Methods] The proposed system was driven by “data and scene”. It used the technology of natural language processing and artificial intelligence to build Knowledge Graph, Precision Service and Intelligent Informatics. It also supported the development of new generation smart knowledge service platforms. [Results] We successfully built a Science and Technology Big Data Center, which helped us develop a knowledge discovery platform. We also created an intelligent research assistant, launched an academic evaluation system for scientific and technological institutions, and constructed a panoramic observation platform for scientific and technological big data visualization. [Limitations] The knowledge graph and the precision service needs to be further improved. [Conclusions] The Smart Knowledge Service platforms provide analysis tools for scientific and technological intelligence.
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