Presentation
Knowledge Graphs: How Will They Transform Science?
DescriptionDiverse big data, interdisciplinary science, ML/AI applications and in-situ computations necessitate knowledge representation. Knowledge, organized for machine understanding in graph form known as knowledge graphs, augments large-scale science. For example, biology and semantic web utilize large knowledge graphs. Utilizing AI, knowledge graphs enable natural language querying of linked information, semantic recommendation systems, and knowledge completion. HPC challenges abound including parallelizing queries, retrieval-efficient knowledge representation, and knowledge graph context-exploiting AI. This BoF will introduce big ideas, as lightning talks followed by discussion, and engage a general audience in a discussion of emerging research topics aiming to seed a community for collaboration.
Session Leader/Speaker
Additional Session Leader or Speakers
Event Type
Birds of a Feather
TimeWednesday, 15 November 20235:15pm - 6:45pm MST
Location710
Applications
TP
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