Knowledge Graphs 2022: Achievements, Challenges and Opportunities
Date: May 25, 2022
Time: 09:00 - 10:30
Presented by the IEEE Computer Society Vancouver Chapter
Presenter: Gerhard Weikum
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. This talk reviews these advances and discusses lessons learned (see http://dx.doi.org/10.1561/1900000064 for a comprehensive survey). Moreover, the talk identifies open challenges and new research opportunities.
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