面向大数据领域的事理认知图谱构建与推断分析

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

随着大数据对全球生产、流通、分配、消费等国计民生领域产生重要影响,事理作为认知智能重要概念,不仅帮助人们发现大数据所蕴含的国计民生的线索与发展规律,而且帮助人们更好认知人机物三元世界未来发展趋势.考虑到人机物事理动态演化是工业大数据有别于其他行业大数据处理的本质区别,本文从人机物事理动态演化特性智能认知着手,结合传统知识图谱在互联网领域取得的成功经验,提出了面向大数据领域的事理认知图谱构建与推断分析.首先论述了事理认知图谱对推动认知智能研究发展的贡献,剖析了它与知识图谱异同之处,深度理解人类社会发展变化规律的重要价值.其次阐述了事理抽取与泛化、多模态联合网络化合成表示、进化认知和推断分析等关键技术研究最新进展以及面临的挑战.最后,结合我们课题组在事理认知图谱的研究进展情况,归纳总结了事理认知图谱在预防网络电话诈骗和安全生产管控等领域最新应用效果.本文结尾总结和展望事理认知图谱的未来研究方向和发展前景.

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-cyberphysical 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.