Approaches to RDF Data Management and SPARQL Query Processing

M. Tamer Özsu
University of Waterloo, Canada
Thursday 9 march 2017, 2pm, IBC (LIRMM Bat.5), room 3/124

Resource Description Framework (RDF) was originally proposed by the World Wide Web Consortium (W3C) for modeling Web objects as part of developing the "semantic web". It has found uses in other areas such as the management of biological data (e.g., UniProt) and web data integration (through Linked Open Data). W3C has also proposed SPARQL as the query language for accessing RDF data repositories. Given the growing size of RDF data sets, and the existence of a declarative query language, the topic is ripe for the application of state-of-the-art data management techniques. In this talk, I will discuss the various approaches to RDF data management and SPARQL query processing, including relational techniques, graph approaches, distributed RDF data management, and Linked Open Data querying, using examples from a number of domains including biological data sets, and popular movie databases.

M. Tamer Özsu is 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. He is a Fellow of the Royal Society of Canada, of the Association for Computing Machinery (ACM), and of the Institute of Electrical and Electronics Engineers (IEEE). He is an elected member of the Science Academy of Turkey, and member of Sigma Xi and American Association for the Advancement of Science (AAAS).

IBC seminars