Data Engineering meets the Semantic Web (DESWeb)
In conjunction with ICDE 2017, San Diego, California
Anastasios Kementsietsidis - Google Research
— An Introduction to Linked Data —
While "An Introduction to Linked Data" sounds like a very modest and maybe boring title, both the topic and the goal of the talk are rather bold: to provide an overview of one of the biggest data integration projects, namely, the Web of Linked Data. Everything big starts small, so the talk will try to trace the beginning of this project, uncover some of its guiding principles, and highlight some of the key benefits of having a web of linked data. On the technical side, we are going to present some of the core technologies used to build linked data, and time-permitting cover some of the main techniques and challenges in this space.
Anastasios Kementsietsidis is a Senior Research Scientist at Google. Before joining Google, Anastasios was a Research Staff Member at IBM T.J. Watson Research Center. He has a PhD in computer science from the University of Toronto. He has over 60 publications with over 3100 citations, including a best paper award in ICDE 2007, a best demo award in EDBT 2006, and his CIKM 2009 paper was a runner-up for a best paper award. Anastasios’ work has had impact to a number of products both at Google and IBM and he has filed 31 US Patents throughout his career. He has served on the program committee of several leading conferences and workshops. He is a Senior Member of IEEE, and a Member of ACM SIGMOD.
George Papastefanatos - ATHENA IMIS
— Visual Exploration in the Web of Data —
Data exploration and visualization systems are of great importance in the Web of Data, in which the volume and heterogeneity of available information make it extremely difficult for non-expert users to explore and analyze data. The visualization techniques, used in a variety of modern systems, provide users with intuitive means to explore the content of the data, identify interesting patterns, infer correlations and causalities, and supports sense-making activities that are not always possible with traditional data analysis techniques. Exploring and visualizing very large web datasets has become a major research challenge, of which scalability is a vital requirement. In this talk, we describe the major prerequisites and challenges that should be addressed by the modern exploration and visualization systems. Considering these challenges, we present a variety of visualization systems, proposed in the Web of Data and discuss how these approaches attempt to handle these challenges.
George Papastefanatos is a research associate at the Institute for the Management of Information Systems of the Research Center ATHENA.His research interests lie in the area of big data management and analytics, related to the data web and linked data, data evolution and preservation, data integration, data visualization and visual analytics.