Title: Approaches to Distributed RDF Data Management and SPARQL Processing
Speaker: Tamer Özsu, University of Waterloo
Abstract
Resource Description Framework (RDF) has been proposed for modeling
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.
Slides
Bio
M. Tamer Özsu is a University Professor of Computer Science at
the David R. Cheriton School of Computer Science of the University of
Waterloo. His research is in data management focusing on large-scale
data distribution and management of non-traditional data. 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, Association for Computing Machinery, and Institute of
Electrical and Electronics Engineers. He is an elected member of the
Science Academy of Turkey, and a member of Sigma Xi. He was awarded
the Canadian Computer Science Association Lifetime Achievement Award
in 2019, ACM SIGMOD Test-of-Time Award in 2015, the ACM SIGMOD
Contributions Award in 2006, and The Ohio State University College of
Engineering Distinguished Alumnus Award in 2008.