Abstract

Scientists need to query a multitude of different data resources in order to obtain useful insights. But how difficult is it to query multiple data sources? This talk delves into the factors that impact data integration, focusing on the ones that are frequently encountered in the web era. It then presents a vision for data integration, along with some initial steps towards the fulfilment of the vision. The last part of this talk presents data integration issues that I am studying.

Efthymia Tsamoura received her PhD in Computer Science in 2013. Since June 2013 she is a postdoctoral researcher in the Computer Science Department of University of Oxford, working with Professor Michael Benedikt on problems related to querying semantically interrelated resources. Her research interests lie in the fields of data integration and query answering under constraints, distributed query optimization, multi-objective query optimization and grid computing.

Dr Efthymia Tsamoura received several distinctions both during her undergraduate and postgraduate studies. On March 2016 she was awarded an Early Career Research Fellowship in Data Science from the Alan Turing Institute