Pedro Szekely

Biography

Pedro Szekely is Principal Scientist and Director of the AI division at the University of Southern California’s Information Sciences Institute, and Research Associate Professor of Computer Science. Dr. Szekely’s current research focuses on table understanding and toolkits for creating and exploiting KGs in AI applications. Dr. Szekely teaches a graduate course on Building Knowledge Graphs, and has given tutorials on knowledge graph construction at KDD, ISWC, AAAI and WWW. Dr. Szekely has published over 100 papers in prestigious conferences, served as program chair for the International Knowledge Capture conference, and as conference chair for the Intelligent User Interfaces Conference.

Talks and Events

2022 Tutorial: Knowledge Graph Toolkit

Our tutorial will be organized as follows. In the first half of the tutorial, we will introduce KGTK’s data format and the wide range of import, curation, transformation, analysis, and export commands, which can be flexibly chained into streaming pipelines through the command line. In the second half, we will show the utility of KGTK in several common and diverse KG use cases. This tutorial will introduce AI researchers and practitioners to effective tools for addressing a wide range of KG creation and exploitation use cases, and inform us on how to bring KGTK closer to its users. KGTK is publicly available under the MIT license