Academic report by bet365 games best slots Wang Xinbing of Shanghai Jiao Tong University

Reporter:bet365 games best slots Jiaotong University Wang Xinbingbet365 games best slots

Reporting location:Information Building535Conference Room

bet365 games best slots time:2023Year11month1Day (week三）下noon3Points

bet365 games best slots title:Key technologies of knowledge graph

Personal introduction: Wang Xinbing，bet365 games best slots of Shanghai Jiao Tong University，Winner of the National Outstanding Youth Fund。ACMChairman of China Council，formerly served as deputy dean of the School of Electronic Information and Electrical Engineering，bet365 games best slots Jiaotong UniversityJohn HopcroftExecutive Director of the Computer Science Center。Serves as an editorial board member of several international journals，includesIEEE Transactions on Information Theory, IEEE/ACM Transactions on Networking. The dissertations of the three doctoral students supervised were ratedACMExcellent doctoral thesis from China, Electronics Society and Communications Society,40More than 10 graduates are working in various universities across the country.

Lecture Summary：Human society has entered the era of intelligence，Social development in the intelligent era has given rise to a large number of intelligent applications，Intelligent applications have put forward unprecedented requirements for the cognitive intelligence level of machines，The realization of machine cognitive intelligence relies on knowledge graph technology。The knowledge graph is oriented to the multiple sources generated in human production and life、Idiosyncratic、Ubiquitous Big Data，Processed by calculation，Recognized as valid、Novel knowledge，And then guide human behavior through knowledge interaction and presentation。In the construction and application of knowledge graph integrating graphics, text and numbers，Build for extraction、Technology for representing and storing knowledge is the foundation of the knowledge graph，Building a knowledge system for knowledge presentation and interaction and knowledge discovery and reasoning based on knowledge graphs are two key points。