Notice: This lecture is a research seminar for credit.
Jan 21, 2019 10:00-11:30
We aim to build a geographic knowledge base, which consists of geographic entities with the finest level of address such as apartment buildings, houses, stadiums, parks, etc. We focus on obtaining visual, textual and spatial features of the entities. One important application of the geographic knowledge base is to provide more visible navigation instructions. Instead of “go 200 meters ahead and turn left”, the navigation system will then say “go 200 meters ahead and turn left at the black seven storey building”. In this talk, I will discuss the challenges towards such a geographic knowledge base and talk about a few advances to address the challenges including sentence generation from knowledge bases and entity alignment between knowledge graphs. This project has been recently awarded the Google Faculty Award and is highly related to Googles Vision Positioning System.
Rui Zhang is a Professor and leader of the Big Data and Knowledge Research Theme at the School of Computing and Information Systems of the University of Melbourne. His research interests are databases, data mining and AI. He has authored more than 100 publications in prestigious conferences and journals. He has been awarded the Future Fellowship by the Australian Research Council in 2012, Chris Wallace Award in 2015 and Google Faculty Research Award in 2017. His inventions have been adopted by major IT companies such as AT&T and Microsoft. He has been a visiting scholar in AT&T Labs-Research and Microsoft Research. He obtained his Bachelor's degree from Tsinghua University in 2001 and PhD from National University of Singapore in 2006. He regularly serves as PC members of top conferences in big data areas such as SIGMOD, VLDB, KDD, WWW Conference and ICDE.
Professors and students of TBSI are welcome to attend. The lecture is also open to the public. For off-campus personnel, please scan the QR code and and fill in your information (name, company, contact number, ID number). The language of the lecture is English.