Reporter:Shanghai Jiaotong University Wang XinbingProfessor
Reporting location:Information Building535Conference Room
Report time:2023year11month1Day (week三）下注noon3Points
Report title:Key technologies of knowledge graph
Personal introduction: Wang Xinbing，Professor 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，Shanghai 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 of 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 seabet casino review 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 seabet sports betting 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。
