Research and Application on Big Data Oriented to Reputation on Collaborative Innovation

被引:0
作者
Huang, Chunmei [1 ]
Zeng, Yingfei [2 ]
Li, Chao [3 ]
Guo, Wei [4 ]
Jiang, Wei [5 ]
机构
[1] Tsinghua Univ, Res Inst Informat Technol, Beijing, Peoples R China
[2] BFSU, Dept Comp Sci, Beijing, Peoples R China
[3] Tsinghua Univ, Res Inst Informat Technol, Beijing, Peoples R China
[4] Peoples Publ Secur Univ Chinese, Sch Police Adm, Beijing, Peoples R China
[5] SUS, Sch Journalism & Foreign Languages, Shanghai, Peoples R China
来源
2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM) | 2016年
关键词
Collaborative innovation; big data; application;
D O I
10.1109/BigMM.2016.48
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Collaborative innovation is a tendency for research institutions in the knowledge-and technology-intensive (KTI) economic activities. With the growth of Government R&D investment, it is extremely important to explore the big data on research innovation. In this paper, we give the classification and characteristics of the big data in the field of research innovation, and then talk about data mining on research innovation and the user behavior analysis which are used in our design. Next we describe the overall framework of big data on collaborative innovation, and emphasize the application which can be realized according to the different service objects. Our goal with this paper is to set up the research reputation mechanism to find the way to solve the fundamental problem of cooperation, which is the limited capability of human selection. The paper outlines the view of the application, which will contribute to the development of research innovation system with big data.
引用
收藏
页码:410 / 415
页数:6
相关论文
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