Constructing and inferring event logic cognitive graph in the field of big data

Abstract

Along with the increasing impact of big data on the economic operation mechanism, including global production, circulation, distribution and consumption, event logic (EL) is becoming an important concept in mining and releasing the potential value of big data. Besides its critical role in exploring the clues and rules of digital economy, EL will also help people better understand the future development of the ternary human-cyber-physical universe. Considering the dynamic evolution of the EL is the essential difference between industrial big data and other big data. Therefore, we propose a constructing and inferring EL cognitive graph in the field of big data. Firstly, we introduce the great opportunities offered by the knowledge graph in promoting the high-quality development of the manufacturing industry, leading the economic development of the new digital manufacturing industry, and promoting the cross-development of sociology and information science. Secondly, we present the construction technology of EL cognitive graph and expound the progress and critical technical challenges in the research of the EL cognitive graph at home and abroad, in the aspects of multi-granularity acquisition and representation of EL, multimodal association and fusion, evolution analysis and mining of EL behavior. Finally, combined with the research progress of our works in EL cognitive graph, we summarize the effect of EL cognitive graph in the prevention of network fraud and the control of safe production as well as summarize and anticipate the future research direction and development prospect of the industry.