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Keynote Lectures

The AI System DLV: Ontologies, Reasoning, and more
Nicola Leone, University of Calabria, Italy

Knowledge Graph for Public Safety: Construction, Reasoning and Case Studies
Xindong Wu, Mininglamp Software Systems, China and University of Louisiana at Lafayette, United States

Available Soon
Rita Cucchiara, University of Modena and Reggio Emilia, Italy

 

The AI System DLV: Ontologies, Reasoning, and more

Nicola Leone
University of Calabria
Italy
 

Brief Bio
Nicola Leone is professor of Computer Science at University of Calabria, where he heads the Department of Mathematics and Computer Science, chairs the PhD in Mathematics and Computer Science, and leads the AI Lab. He previously was professor of Database Systems at Vienna University of Technology until 2000. He is internationally renowned for his research on Knowledge Representation, Answer Set Programming (ASP), and Database Theory, and for the development of DLV, a state-of-the-art ASP system which is popular world-wide. He published more than 250 papers in prestigious conferences and journals, and has about 10,000 citations, with h-index 52. He is area editor of the TPLP journal (Cambridge Press) for "Knowledge Representation and Nonmonotonic Reasoning", and been Keynote Speaker and Program Chair of several international conferences, including, e.g., JELIA and LPNMR. He is a fellow of ECCAI (now EurAI), recipient of a Test-of-Time award from the ACM, and winner of many Best Paper Awards in top-level AI conferences.


Abstract
Available Soon



 

 

Knowledge Graph for Public Safety: Construction, Reasoning and Case Studies

Xindong Wu
Mininglamp Software Systems, China and University of Louisiana at Lafayette
United States
 

Brief Bio
Xindong Wu, PhD, Chief Scientist and Vice President of Mininglamp Software Systems (China), and Alfred and Helen Lamson Endowed Professor of the School of Computing and Informatics at the University of Louisiana at Lafayette. He is also a Yangtze River Scholar in the School of Computer Science and Information Engineering at the Hefei University of Technology (China), and a Fellow of the IEEE and the AAAS. He holds a PhD in Artificial Intelligence from the University of Edinburgh and Bachelor's and Master's degrees in Computer Science from the Hefei University of Technology, China. Dr. Wu's research interests include data mining, Big Data analytics, knowledge engineering, and Web systems. He has published over 450 refereed papers in these areas in various journals and conferences, as well as 45 books and conference proceedings. His research has been supported by the U.S. National Science Foundation (NSF), the U.S. Department of Defense (DOD), the National Natural Science Foundation of China (NSFC), the Ministry of Science and Technology of China, and the Ministry of Education of China, as well as industrial companies including Microsoft Research, U.S. West Advanced Technologies, and Empact Solutions.


Abstract
Investigating a crime incident for a rank-ordered list of suspects and linking a cluster of suspects to possible unsettled or even never reported crime cases, both need domain expertise and information fusion from heterogenous and autonomous data sources for complex and evolving relationships. In this talk, we will present our efforts on constructing a large knowledge graph for public safety with billions of nodes and billions of connections, and crime-investigation services this knowledge graph facilitates. This knowledge graph supports big knowledge processing and industrial AI applications. We will discuss entity fusion and mapping, relationship computing, and event reasoning with case studies of the knowledge graph.



 

 

Keynote Lecture

Rita Cucchiara
University of Modena and Reggio Emilia
Italy
 

Brief Bio
Rita Cucchiara is Professor of Computer Architecture and Computer Vision at Engineering Department “Enzo Ferrari” of the University of Modena and Reggio Emilia, Italy.

She heads the Imagelab research lab at UNIMORE. She is Director of the Inter-departmental Centre of Research in ICT Softech-ICTof Emilai rOmagna High Technology network, and Director of the Master in Visual Computing and Multimedia Technology.

She is working on computer vision, multimedia pattern recognition, machine learning and intelligent sensing. In 2016 she has been awarded by the Facebook Artificial intelligence Research and the Cineca Italian SuperComputing Resource Allocation grants. Rita Cucchiara is president of GIRPR the Italian Association of Pattern Recognition, Fellow of IAPR and she is in the Advisory Board of Computer Vision Foundation. She covers also the role of deputy-president of the Italian Groups of Computer Engineering Professors GII, for scientific research. In 2020 she will be General Chair of ICPR2020. She is currently AE of IEEE Trans. of Multimedia. She is author or more than 300 publications on International Journals and Proceedings.


Abstract
Available Soon



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