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query-understanding

Improve Earth Data Discovery through Deep Query Understanding (ESIP Incubator project)

The goals of this project include:

  • Create an open-source query understanding solution for Earth sciences that fills the aforementioned intent gap in Earth data discovery;
  • Provide a proof-of-concept for deep learning and natural language processing in Earth data/knowledge discovery that can be shared with the broader Earth Science Community, including ESIP and interested scientists worldwide through presentations and one or more papers;
  • Implement technologies or activities furthering ESIP goals of Discovery, Earth Science Cyber-infrastructure, as well as Semantic Technologies