Graph Data Management

Introduction.- Basics of Graph Data Management.- Large Scale Graph Processing Systems.- Motif Discovery in Large Graphs.- Applications of Flexible Querying to Graphs.- Graph Visualization.- Graph Management Benchmarking.- Parallel Processing of Graphs.- Graph Mining.- Connectivity Queries on Complex Networks.

George Fletcher is an Associate Professor and Chair of the Database Group at Eindhoven University of Technology. He obtained his PhD from Indiana University Bloomington in 2007. His research interests span data-intensive systems, including query language design and engineering, foundations of databases, and data integration. His current focus is on data engineering challenges in the management of massive graphs such as social networks and linked open data.
Jan Hidders is an Associate Professor at the Vrije Universiteit Brussel. He got his PhD in 2001 at Eindhoven University of Technology, and has subsequently worked at the University of Antwerp as a postdoctoral researcher and as an assistant professor at TUDelft. He has worked on topics such a database indexing, workflow languages, query optimization and data integration. His current interests are in languages and platforms for large scale distributed data processing and in particular for graph processing.
Josep Lluís Larriba-Pey is an Associate Professor at the Universitat Politècnica de Catalunya. He has been working on Graph management for the last 10 years leading DAMA-UPC, a research and Technology Development group at Universitat Politècnica de Catalunya. In addition, based on the technologies DAMA-UPC, Josep has founded Sparsity Technologies a spin out company that provides technologies based on graph management, and in particular the high performance graph database Sparksee.