Daniel Garijo

Biography

Daniel Garijo is a Researcher at the Ontology Engineering Group of the Universidad Politécnica de Madrid (UPM), where he obtained his PhD. Before joining UPM, Daniel was a researcher at the Information Sciences Institute at the University of Southern California. His research is focused on using Semantic Web and Linked Data to facilitate the reuse and understanding of scientific workflows and software. Daniel has experience in presenting tutorials at international conferences such as Dublin Core, K-CAP and AAAI and universities such as Stanford, UCLA and USC.

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.