A Study to Determine Natural Language Processing Capabilities with NCCF Open Knowledge Mesh (KM/NLP) : A Technical Report Concluding NOAA NESDIS Discoverability Enhancer for Context/Quality of KM Using AI [Deck-AI]

Details

• Alternative Title:
  Joint Venture Partnerships - A Study to Determine Natural Language Processing Capabilities with the NCCF Open Knowledge Mesh (KM/NLP)
• Personal Author:
  Babalola, Karolyn ; Sukhatankar, Prachi ; Kurz, Rebecca ; Redfearn, Elizabeth
• Corporate Authors:
  Booz Allen Hamilton
• NOAA Program & Office:
  NESDIS (National Environmental Satellite, Data, and Information Service) ; SAE (Office of Systems Architecture and Engineering)
• Description:
  With this study, the Booz Allen team aimed to address these challenges by integrating machine learning, NLP and generative AI techniques into NOAA’s knowledge mesh (KM) framework, Open Information Stewardship Service (OISS).
• Content Notes:
  This project was funded through the Joint Venture Partnerships Program, Office of Systems Architecture and Engineering (SAE), NOAA/NESDIS.
• Keywords:
  • Joint Venture Partnerships Program
  • KM/NLP
  • Knowledge Mesh
  • Natural Language Processing
  • Knowledge Graphs
  • Open Information Stewardship Service
  • OISS
  • Florida
  • Harmful Algal Bloom
  • HAB
  More +
• DOI:
  https://doi.org/10.25923/cq5r-q526
• Format:
  pdf
• Document Type:
  Non-series Report
• Funding:
  Contract no. 1332KP24C0027
• License:
  https://creativecommons.org/publicdomain/zero/1.0/
• Rights Information:
  CC0 Public Domain
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/72010/noaa_72010_DS1.pdf
• File Type:
  [PDF - 2.24 MB]
• Collection(s):
  National Environmental Satellite and Data Information Service (NESDIS)
• Main Document Checksum:
  urn:sha-512:36bb8181536a1f22f34a3fd7955cd4982626cce00cfd8a2b1869f3932ee89aebce44822c37128c86057a31a141ae181fdf04b5b7d21b628b16176c6c4ec1cb05