It has been a decade since the concept of blockchain (also known as distributed ledger) was invented as the underlying technology of the public or permissionless Bitcoin cryptocurrency network. Since that time, several other cryptocurrencies, tokens and ICOs have come into existence. After much speculation and hype, most of them have become worthless! The public blockchain system Ethereum emerged by generalizing the use of blockchains to manage any kind of asset, be it physical or purely digital, with the introduction of smart contracts. Over the past decade, numerous myths have developed with respect to the purported utility and the need for public blockchains. The adoption and further adaptation of blockchains and smart contracts for use in the private or permissioned environments is what I consider to be useful and of practical consequence. Hence, only such private blockchain systems will be the primary focus of this talk. In the process, I will bust many of the myths associated with public blockchains. Dr. Gu takes the practice of Guiyang, China as an example, and explores the significance of children's big data indicator analysis platform for the construction of child-friendly city. In addition, she tries to sort out the catalogue of big data resources in Guiyang, China from Guiyang Civil Affairs Bureau, Guiyang Education Bureau, Guiyang Health and Family Planning Commission, Guiyang Public Security Bureau, Guiyang Transportation Bureau, Guiyang Finance Committee, Guiyang Health and Care Bureau of Human Resources, Guiyang Recreation and Tourist Administration and Guiyang Disabled Persons' Federation（DPF), to collect data on children’s health, education, welfare, safety,rights protection and environment. The cloud computing and big data infrastructure platform can be developed from data cleaning, data masking, data analysis and mining, modeling, and other technologies of big data. Supporting on data, policy making and decision-making reference will be provided by the platform from data mining and data visualization (including dashboards, analysis reports, reports, map display, etc.), for the child-friendly city. From open sources, new products towards the municipal government, enterprises, the public and children on big data and Artificial Intelligent related to areas like children’s health, education, welfare, safety, rights protection and environment will be created to improve and assist the development and construction of child-friendly city .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.