Prof. Manolis KoubarakisNational and Kapodistrian University of Athens, Greece
Question Answering over Geospatial Knowledge Graphs
Given the importance of geospatial information on the Web, we have recently seen the emergence of geospatial knowledge graphs such as YAGO2, YAGO2geo, World-KG and KnowWhereGraph. This talk surveys state-of-the-art geospatial knowledge graphs, and then it studies the problem of answering natural language questions over these knowledge graphs.
Manolis Koubarakis is a Professor and Director of Graduate Studies in the Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens. He leads the Artificial Intelligence team (http://ai.di.uoa.gr). He holds a Ph.D. in Computer Science from the National Technical University of Athens, an M.Sc. in Computer Science from the University of Toronto, and a diploma (B.Sc.) in Mathematics from the University of Crete. He is a Fellow of EurAI (European Association for Artificial Intelligence) since 2015, Secretary of the EurAI Board since 2022, and current President of the Hellenic Association for Artificial Intelligence. He is a member of the Advisory Board that implements the Hellenic National Strategy for Artificial Intelligence. He has published more than 200 papers that have been widely cited (7700 citations and h-index 46 in Google Scholar) in the areas of Artificial Intelligence (especially Knowledge Representation and Constraint Programming), Databases (especially temporal and spatial databases), Semantic Web, Knowledge Graphs and Linked Data (especially geospatial and Earth observation data), and Deep Learning for Natural Language Processing. His research has been financially supported with a total amount exceeding 9 million Euros by the European Commission, the Hellenic Foundation for Research and Innovation, the Greek General Secretariat for Research and Technology, the European Space Agency and industry.
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