scholarly journals Research on Intelligent Information System of Library under Big Data and Digitization Technology

2021 ◽  
Vol 2083 (4) ◽  
pp. 042063
Author(s):  
Chunyu Wang ◽  
Zhengyu Sha
Keyword(s):  
Big Data ◽  
Service System ◽  
Academic Research ◽  
Functional Model ◽  
Information Service ◽  
Accurate Identification ◽  
Fine Grained ◽  
Technology Services ◽  
Four Levels ◽  
Intelligent Information

Abstract In the big data environment, we develop personalized information of college libraries based on big data from three aspects: the overall architecture of the system model, the functional model of the system, and the design of system interface modules according to the design principles and requirements of the personalized information service system of the university library Service system design. In terms of the functional design of the platform, the service platform is divided into four levels: accurate identification of user needs based on big data, personalized customized services based on artificial intelligence, academic research and discussion space based on integrated media, and fine-grained subject resource aggregation based on knowledge. On this basis, a centralized model of individualized services of university libraries including internal and external personnel, information resources, technology, services, processes, platforms, and environment has been constructed.

The construction of emergency intelligence service system for think tanks in the context of big data

2021 ◽  
pp. 1-17
Author(s):  
Shanshan Jiang ◽  
Shaobo Qi
Keyword(s):  
Big Data ◽  
Service System ◽  
Information Service ◽  
Food Poisoning ◽  
Think Tanks ◽  
Application Process ◽  
Technology Application ◽  
Life Cycle Theory ◽  
Intelligence Service

The big data era has ushered in huge transformation in the form of major media, with WeMedia nowadays becoming the mainstream. As is witnessed, WeMedia has achieved a rapid and widespread growth in both dissemination and influence, which has posed a series of challenges to the Emergency Intelligence Service System for Think Tanks, including changes to the subject, content, form, and connotation of platforms. Based on big data, this study makes an investigation into the Emergency Intelligence Service for the modern think tanks and applies the method of factor analysis to draw the conclusion on what kind of factors will influence the performance of the Emergency Intelligence Service for Think Tanks. Then, from the perspective of the life-cycle theory, this research not only optimizes the work process of the Emergency Intelligence Service for Think Tanks, but also constructs a multi-dimensional Emergency Intelligence Service System based on the concept of “Data Driven + Technology Application + Expert Decision” from the aspect of theoretical and technical perspectives. Meanwhile, a public health incident emergency information service system is built on this basis, describing the application process with food poisoning as an example. Last but not least, hopefully, this study could help improve the quality of decision and effectiveness of the Emergency Intelligence Service for Think Tanks and enhance the power of influence and communication for agencies of Emergency Intelligence Service and this paper provides a reference for the establishment and improvement of government decision-making and governance mechanisms.

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