Insight Galway Lecture Series on Data Science & AI

The Insight visitor program is an initiative by the Insight Centre at the University of Galway to invite researchers in Data Science and AI that are globally recognized for their impact on the field to visit Insight for 3-5 days to explore collaboration opportunities.

A core feature of the visit is a public lecture on Data Science and AI, for which you can register for.

Our first lecture in the series is "Knowledge Graphs. A Mainstream Technology that Few Know About "

Knowledge Graphs: A Mainstream Technology that Few Know About

Even if you have never heard of a “Knowledge Graph”, it is likely you have interacted with one (or more) of them already today. Knowledge Graphs are used to power and enrich a variety of well-known applications offered by companies like AirBnB, Amazon, eBay, Facebook, Google, IBM, LinkedIn, Microsoft, Uber, and many more. Some Knowledge Graphs are available to the public, while others are closed and internal to a particular enterprise. Knowledge Graphs, in essence, integrate diverse sources of data at large scale. Within such scenarios, Knowledge Graphs have popularised the idea of modelling data following a graph-based abstraction, where nodes represent entities and edges represent the relations between entities. In terms of research, Knowledge Graphs have become a novel point of convergence for different communities, wherein a variety of techniques for creating, enriching, validating and analysing such graphs have been proposed, alongside techniques for querying, reasoning, and generating machine learning models over them. In terms of practice, Knowledge Graphs are now used in diverse application scenarios involving personalised agents, recommendations, classification and prediction, semantic search, information extraction, drug discovery, fraud detection, and many more.

In this lecture, we will provide an introduction to Knowledge Graphs, covering the fundamentals of how they modelled, the techniques that they enable, the research questions that they raise, the applications in which they have been used, and what has made them a mainstream technology (that few know about).

About the presenter:

Aidan Hogan is an Associate Professor and Director of the Department of Computer Science, University of Chile, and an Associate Researcher and Subdirector of the Millennium Institute for Foundational Research on Data (IMFD). He conducted his PhD research under the supervision of Prof. Axel Polleres at the National University of Ireland, Galway (DERI/Insight Galway), graduating in 2011. He continued as a Postdoc at DERI/Insight Galway until 2013, when he joined the University of Chile. Aidan's research interests relate primarily to the Semantic Web, Graph Databases, Information Extraction and Reasoning; he has published over one hundred peer-reviewed works on these topics. He is an Editor-in-Chief and Co-Founder of the journal Transactions on Graph Data & Knowledge (TGDK): a recently-launched academic journal that is free for authors, and free for readers. He is the author of three books, the latest of which, “Knowledge Graphs”, is available online: https://kgbook.org/.