Abstract:

[Objective] This paper proposes a big data driven innovation methodology and develops the corresponding service platform. [Context] It is difficult to apply systematic innovation methods and deal with information fragmentation in the process of mass innovation. [Methods] Based on big data technology and the idea of gathering intelligence, this paper has constructed an innovative method of big data and innovative knowledge graph by the integration of multi-source cross-industry innovative data. Through socialized public participation and interactive feedback, an innovative model that gathers all wisdom is formed. Based on the innovative big data knowledge graph, new ideas can be generated and realized automatically and rapidly. Based on the theory of innovation methods such as the principle of invention, the formation of innovative solutions is realized with the participation of the public. [Results] The proposed methodology and platform have been applied in many industries such as research and development of industrial manufacturing and Internet products. A large number of cases have proved the effectiveness of the proposed methodology and innovative service platform. [Conclusions] The big data driven innovation methodology and innovation service platform provide mindsets, methods and tools support for innovation. Through the research on data mining and crowd science, problems faced by innovation can be intelligently solved, and innovation is promoted towards intelligence and popularization.

Key words: big data driven, innovation methodology, crowd wisdom, crowd creation, service platform