student profile: Mr Alex To


Thesis work

Thesis title: Ontology based data access for heterogeneous data sources

Supervisors: Joseph DAVIS

Thesis abstract:

We live in a world increasingly driven by data. While it is no doubt that a number of Silicon Valley companies like Google, Facebook and Amazon have been employing Big Data with success, Big Data still remains largely uncharted for many mainstream companies. A common notion is that the more data the better when it comes to data analytics but this is not always the case. Recent Big Data Executive Survey published by NewVantage Partners LLC in 2016 has shown that in the adoption of Big Data by the Fortune 1000, Variety
is reported to be the primary technical driver behind Big Data investments by 69% of respondents, with volume at 25% and velocity lagging well behind at 6%. For these companies, the problem is not the ability to process large amount of data but the ability to integrate heterogeneous data sources and this is also known as the Variety challenge. In this research, we present an approach to cope with the Variety challenge of Big Data that relies on Ontology-Based Data Access (OBDA) paradigm. This approach employs an Ontology as a conceptual layer that provides users unified access over various types of underlying data sources.

Note: This profile is for a student at the University of Sydney. Views presented here are not necessarily those of the University.