Publication Date:
2019-07-13
Description:
Knowledge Graphs link key entities in a specific domain with other entities via relationships. From these relationships, researchers can query knowledge graphs for probabilistic recommendations to infer new knowledge. Scientific papers are an untapped resource which knowledge graphs could leverage to accelerate research discovery. Goal: Develop an end-to-end (semi) automated methodology for constructing Knowledge Graphs for Earth Science.
Keywords:
Documentation and Information Science; Geosciences (General)
Type:
MSFC-E-DAA-TN50133
,
AGU Fall Meeting 2017; Dec 11, 2017 - Dec 15, 2017; New Orleans, LA; United States
Format:
application/pdf
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