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DTSTAMP:20230124T171525Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20221114T154000
DTEND;TZID=America/Chicago:20221114T160500
UID:submissions.supercomputing.org_SC22_sess464_ws_hust104@linklings.com
SUMMARY:Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR
  Support of HPC
DESCRIPTION:Workshop\n\nInteractive NLU-Powered Ontology-Based Workflow Sy
 nthesis for FAIR Support of HPC\n\nNan, Dave, Shen, Liao, Vanderbruggen...
 \n\nWorkflow synthesis is important for automatically creating the data pr
 ocessing workflow in a FAIR data management system for HPC. Previous metho
 ds are table-based, rigid and not scalable. This paper addresses these lim
 itations by developing a new approach to workflow synthesis, interactive N
 LU-powered ontology-based workflow synthesis (INPOWS). INPOWS allows the u
 se of Natural Language for queries, maximizes the robustness in handling c
 oncepts and language ambiguities through an interactive ontology-based des
 ign, and achieves superior extensibility by adopting a synthesis algorithm
  powered by Natural Language Understanding. In our experiments, INPOWS sho
 ws the efficacy in enabling flexible, robust, and extensible workflow synt
 hesis.\n\nSession Format: Recorded\n\nRegistration Category: Workshop Reg 
 Pass
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