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DTSTART;TZID=America/Denver:20231115T171500
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UID:submissions.supercomputing.org_SC23_sess409@linklings.com
SUMMARY:Knowledge Graphs: How Will They Transform Science?
DESCRIPTION:Knowledge Graphs: How Will They Transform Science?\n\nDiverse 
 big data, interdisciplinary science, ML/AI applications and in-situ comput
 ations necessitate knowledge representation. Knowledge, organized for mach
 ine understanding in graph form known as knowledge graphs, augments large-
 scale science. For example, biology and semantic web utilize large kno...\
 n\n\nSagi Zisman (National Renewable Energy Laboratory (NREL)); Gretchen G
 reene (National Institute of Standards and Technology (NIST)); Eric Stepha
 n (Pacific Northwest National Laboratory (PNNL)); Marshall McDonnell (Oak 
 Ridge National Laboratory (ORNL)); Stuart Chalk (University of North Flori
 da); Ambarish Nag, Dmitry Duplyakin, Graham Johnson, David Rager, Harrison
  Goldwyn, and Nalinrat Guba (National Renewable Energy Laboratory (NREL));
  and Gabe Fierro (Colorado School of Mines)\n\nTag: Applications\n\nRegist
 ration Category: Tech Program Reg Pass, Exhibits Reg Pass
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