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Using a Knowledge Graph to Discover Earth Science InformationKnowledge graphs link key entities within a specific domain to other entities via relationships. Researchers are able to mine these relationships from numerous sources to infer new knowledge. Text extraction from peer-reviewed papers and scientific reports are untapped resources that can be leveraged by knowledge graphs to accelerate scientific discovery.
Document ID
20180008808
Acquisition Source
Marshall Space Flight Center
Document Type
Presentation
Authors
Freitag, Brian (Alabama Univ. Huntsville, AL, United States)
Miller, J. J. (Alabama Univ. Huntsville, AL, United States)
Bugbee, Kaylin (Alabama Univ. Huntsville, AL, United States)
Duan, Xiaoyi (Carnegie Mellon Univ. Pittsburgh, PA, United States)
Zhang, Jia (Carnegie Mellon Univ. Pittsburgh, PA, United States)
Ramachandran, Rahul (NASA Marshall Space Flight Center Huntsville, AL, United States)
Maskey, Manil (NASA Marshall Space Flight Center Huntsville, AL, United States)
Gatlin, Patrick (NASA Marshall Space Flight Center Huntsville, AL, United States)
Christopher, Sundar (Alabama Univ. Huntsville, AL, United States)
Date Acquired
December 27, 2018
Publication Date
December 10, 2018
Subject Category
Documentation And Information Science
Report/Patent Number
MSFC-E-DAA-TN63417
IN53E-0669
Report Number: MSFC-E-DAA-TN63417
Report Number: IN53E-0669
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting
Location: Washington, DC
Country: United States
Start Date: December 10, 2018
End Date: December 14, 2018
Sponsors: American Geophysical Union (AGU)
Funding Number(s)
CONTRACT_GRANT: NNM11AA01A
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.

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