Recently, the knowledge graph forum of The 2nd World Intelligence Congress chaired by Professor Wang Kewen and Associate Professor Zhang Xiaowang of the Data Science and Service Engineering Team of the School of Computer Science, Tianjin University was successfully held in the lecture hall of Zhengdong Library.
The data science and service engineering team of Tianjin University has been engaged in research on knowledge engineering for nearly 15 years. In recent years, under the support of national programs such as the "863" plan, the national basic key research and development program, and National Science and Technology Major Projects, the team has made great progress in basic research on knowledge graph basic theory, platforms for large-scale knowledge storage, management, processing and reasoning, advanced knowledge base construction and more.
The knowledge graph is the core of artificial intelligence. Li Deyi, academician of the Chinese Academy of Engineering and chairman of the China Artificial Intelligence Society, said that knowledge engineering is one of the most significant issues in the era of artificial intelligence. The continuous increase in the scale and complexity of knowledge graphs is a direct impetus to the development and improvement of related technologies.
At the forum, 10 well-known experts and scholars engaged in the research and practice of knowledge graphs at home and abroad, academia and industry, gathered together to discuss issues such as the construction, inquiry, and reasoning of large-scale knowledge maps. They were: Professor of Vienna University of Technology, Thomas Eiter, ECCAI Fellow, Professor of Huddersfield University, Grigoris Antoniou, ECCAI Fellow, Professor Lin Fangzheng of Hong Kong University of Science and Technology, Professor Jin Zhi of Peking University, Institute of Mathematics and Systems Science, Chinese Academy of Sciences Researcher Zhang Songbiao, Zhao Jun, Research Fellow, Institute of Automation, Chinese Academy of Sciences, Professor Wang Xianchang, Jilin University, Professor Qi Guilin, Southeast University, Zhang Wei, Alibaba Knowledge Graph Manager, and Bai Yong, Knowledge Graph director of Baidu
At 9:00 a.m., the knowledge feast officially began with warm applause. Professor Wang Kewen made an opening speech and welcomed delegates to Tianjin University to participate in this academic feast of knowledge graphs.
Professor Feng Zhiyong, deputy dean of the School of Software of Tianjin University and head of the data science and service engineering team, introduced the progress that Tianjin University has made in the research of knowledge graphs in recent years. He advocated that academia and industry should cooperate on relevant research topics. Thomas Eiter, a professor of the Vienna University of Technology and an ECCAI Fellow, introduced a method to solve the vast space caused in ASP (Answer Set Programming) by the traditional MIL (Meta-Interpretive Learning) by using the HEX (Hexadecimal) extended API style to access the ASP of external information. Professor Grigoris Antoniou of Huddersfield University in his report on Large-Scale Reasoning focused on three issues facing big data today: programming complexity, transmission cost and load balancing, and analysed them in detail. Professor Lin Fangzhen of the Hong Kong University of Science and Technology described a machine theorem discovery framework and its application in program verification in the field of software engineering. Professor Lin believes that many AI problems can be formalized as machine theorems to find problems. Professor Jin Zhi of Peking University and Zhang Songmao, a researcher at the Academy of Mathematics and Systems Science of the Chinese Academy of Sciences, gave reports on the “ knowware, and knowledge graph” and “major biomedical ontology matching”, respectively. Professor Zhao Jun from the Institute of Automation, Chinese Academy of Sciences, and Professor Wang Xianchang from Jilin University reported on "event extraction research and construction of event maps" and "application of KS rules in a blackboard-based critical control system based on rules." Professor Qi Guilin from Southeast University and Dr. Zhang Wei from Alibaba's Business Map Knowledge Graph spoke about “Mining and Reasoning with Large Knowledge Graphs” and “Artificial Intelligence Product Knowledge Maps”, respectively.
In the panel discussion session, the Percentage Point president Liu Yizheng, the Baidu knowledge graph director Zhu Yong, Professor Feng Zhiyong, Professor Lin Fangzhen, Professor Wang Xianchang, Dr Zhang Wei, Dr. Bao Jie and other representatives from the academia and business communities had an in-depth discussion regarding the "Critique of Rationality in Maps"and answered questions raised by the delegates. This session lasted for nearly one and a half hours. The atmosphere of the report meeting was lively and active, and the questions raised by the audience were positive.
By: Qiu Ya
Editors: Qin Mian and Keith Harrington
