An AI Based System for Objective Tropical Cyclone Intensity Estimation
No abstract available
Deep Learning↗
Engineering topics
Freitag, Brian
Publications and source records attributed to Freitag, Brian.
Using a Knowledge Graph to Discover Earth Science Information
Knowledge 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.
Freitag, Brian↗
Collaborative Metadata Curation in Support of NASA Earth Science Data Stewardship
Growing collection of NASA Earth science data is archived and distributed by EOSDIS’s 12 Distributed Active Archive Centers (DAACs). Each collection and granule is described by a metadata record housed in the Common Metadata Repository (CMR). Multiple metadata standards are in use, and core elements of each are mapped to and from a common model – the Unified Metadata Model (UMM). Work done by the Analysis and Review of CMR (ARC) Team.
data stewardship↗
Building Scalable Knowledge Graphs for Earth Science
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.
Ramachandran, Rahul↗