Knowledge Graphs 2022: Achievements, Challenges and Opportunities
Gerhard Weikum, Scientific Director at the Max Planck Institute for Informatics
Organizer: Computer Society Vancouver Chapter
Wednesday, May 25th, 9:00 am-10:30 am. Online
Machines with comprehensive knowledge of the world’s entities and their relationships has been a long-standing vision and challenge of AI. Over the last two decades, huge knowledge bases, also known as knowledge graphs, have been automatically constructed from web data and text sources, and have become a key asset for search engines and other use cases. Machine knowledge can be harnessed to semantically interpret text in news, social media, and web tables, contributing to question answering, natural language processing and data analytics.
Gerhard Weikum is a Scientific Director at the Max Planck Institute for Informatics in Saarbruecken, Germany, and an Adjunct Professor at Saarland University. He co-authored a comprehensive textbook on transactional systems, received the VLDB Test-of-Time Award 2002 for his work on automatic database tuning, and is one of the creators of the YAGO knowledge base which was recognized by the WWW Test-of-Time Award in 2018.
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