From Artwork to Cyber Attacks: Lessons Learned in Building Knowledge Graphs using Semantic Web Technologies

April 20, 2018
Versione stampabile

Time: 13:00-15:00
Location: Ofek Room, Via Sommarive 5 - Povo1

Speaker

  • Craig Knoblock, University of Southern California (USC)

Abstract

Over the last few years we have been building domain-specific knowledge graphs for a variety of real-world problems, including creating virtual museums, combating human trafficking, identifying illegal arms sales, analyzing changes to the built environment using maps, and predicting cyber attacks.  We have developed a variety of techniques to construct such knowledge graphs, including techniques for extracting data from online sources, aligning the data to a domain ontology, and linking the data across sources.  In his talk I will present these techniques and describe our experience in applying Semantic Web technologies to build knowledge graphs for real-world problems. 

About the Speaker

Craig Knoblock is a Research Professor of both Computer Science and Spatial Sciences at the University of Southern California (USC), Director of the Intelligent Systems Division at the Information Sciences Institute, and Associate Director of the Informatics Program at USC.   He received his Bachelor of Science degree from Syracuse University and his Master’s and Ph.D. from Carnegie Mellon University in computer science. His research focuses on techniques for describing, acquiring, and exploiting the semantics of data.  He has worked extensively on source modeling, schema and ontology alignment, entity and record linkage, data cleaning and normalization, extracting data from the Web, and combining all of these techniques to build knowledge graphs.  He has published more than 300 journal articles, book chapters, and conference papers on these topics.  Dr. Knoblock is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a Fellow of the Association of Computing Machinery (ACM), past President and Trustee of the International Joint Conference on Artificial Intelligence (IJCAI), and winner of the 2014 Robert S. Engelmore Award. 

Contact Person for this Seminar: lesya.vozna [at] unitn.it (Lesya Vozna )