IEEE International Conference on Knowledge Graph (ICKG-2022)
November 30-December 1
Orlando, FL, USA
M. Tamer Özsu
University of Waterloo
Title: Approaches to Distributed RDF Data Management and SPARQL Processing
Resource Description Framework (RDF) has been proposed for modelling Web objects as part of developing the "semantic web", but its usage has extended beyond this original objective. As the volume of RDF data has increased, the usual scalability issues have arisen and solutions have been developed for distributed/parallel processing of SPARQL queries over large RDF datasets. RDF has also gained attention as a way to accomplish data integration, leading to federated approaches. In this talk I will provide an overview of work in these two areas.
M. Tamer Özsu is a University Professor of Computer Science at the David R. Cheriton School of Computer Science of the University of Waterloo where he holds a Cheriton Faculty Fellowship. He holds a Distinguished Visiting Professor position at Tsinghua University. He is the Founding Director of Waterloo-Huawei Joint Innovation Laboratory since 2018. His research is in data engineering aspects of data science particularly addressing data management issues with two foci: management of non-traditional data and large-scale distributed data management. His publications include the book Principles of Distributed Database Systems (co-authored with Patrick Valduriez), which is now in its fourth edition. He has also edited, with Ling Liu, the Encyclopedia of Database Systems which is in its second edition. He is a Fellow of the Royal Society of Canada, American Association for the Advancement of Science (AAAS), Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and Asia-Pacific Artificial Intelligence Association (AAIA). He is an elected member of the Science Academy of Turkey, and a member of Sigma Xi. He is the recipient of the IEEE Innovation in Societal Infrastructure Award (2022), Canada Computer Science Association Lifetime Achievement Award (2019), ACM SIGMOD Test-of-Time Award (2015), ACM SIGMOD Contributions Award (2006), and The Ohio State University College of Engineering Distinguished Alumnus Award (2008).
Title: Towards Natural User Interaction
In the development of computing technology, the major role of HCI (Human Computer Interaction) is breaking through the usability bottleneck in exchanging information between the system and the user. Technologies that enable natural user interaction are key to the success of today's end user devices and applications. The key is how to adapt the user's ability in the interaction interface of the system by computing. This talk will introduce the efforts on natural user interaction on different layers, where modelling the mechanisms of human physiological perception, cognition and behavior, is essential in striving research directions. Interpreting interaction intent from continuous undetermined multimodal data is the goal of building the user natural behavior input interfaces, for which Bayesian methods can effectively solve the imprecise gesture recognition problem. Optimizing the multimodal interaction path based on interaction task semantics can greatly improve the interaction efficiency. Building a virtual and real fusion IDE can support developing new interacting interfaces and scenes in a cost effective way for advance evaluations. These above systematic efforts have resulted in natural human-computer interaction in a key technology system (NUIX) that is being constantly updated in real-world teaching and research practices, and have enabled HCI technological advances in the industry.
Yuanchun Shi is a Changjiang Distinguished Professor in the Department of Computer Science and Technology, Tsinghua University, China. She received her BSc, MSc and PhD degress from Tsinghua University, and joined its faculty in 1993. Her research in human-computer interaction, ubiquitous computing, and multimedia has won many academic awards, including two State Science and Technology Progress Awards, Faculty Awards, and several best paper and honorable mention awards from top conferences. She is now the President of Qinghai University (under the pairing assistance program between Tsinghua University and Qinghai University).
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