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DTSTART:20220313T030000
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DTSTART:20221106T010000
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DTSTAMP:20220528T140049Z
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DTSTART;TZID=Canada/Pacific:20220525T090000
DTEND;TZID=Canada/Pacific:20220525T103000
DESCRIPTION:Machines with comprehensive knowledge of the world's entities a
 nd their relationships has been a long-standing vision and challenge of AI
 . Over the last two decades\, huge knowledge bases\, also known as knowled
 ge graphs\, have been automatically constructed from web data and text sou
 rces\, 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\, natu
 ral language processing and data analytics. This talk reviews these advanc
 es and discusses lessons learned (see http://dx.doi.org/10.1561/1900000064
  for a comprehensive survey). Moreover\, the talk identifies open challeng
 es and new research opportunities.\n\nSpeaker(s): Gerhard\, \n\nAgenda: \n
 Starts at 9am\n\nVirtual: https://events.vtools.ieee.org/m/313691
LOCATION:Virtual: https://events.vtools.ieee.org/m/313691
ORGANIZER:bgill@ieee.org
SEQUENCE:1
SUMMARY:Knowledge Graphs 2022: Achievements\, Challenges and Opportunities
URL;VALUE=URI:https://events.vtools.ieee.org/m/313691
X-ALT-DESC:Description: <br /><p>Machines with comprehensive knowledge of t
 he world's entities and their relationships has been a long-standing visio
 n 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 i
 nterpret text in news\, social media and web tables\, contributing to ques
 tion answering\, natural language processing and data analytics. This talk
  reviews these advances and discusses lessons learned (see&nbsp\;<a href="
 http://dx.doi.org/10.1561/1900000064">http://dx.doi.org/10.1561/1900000064
 </a>&nbsp\;for a comprehensive survey). Moreover\, the talk identifies ope
 n challenges and new research opportunities.</p><br /><br />Agenda: <br />
 <p>Starts at 9am</p>
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