scholarly journals Creating Resilient Communities Through Earth Science Data

Eos ◽  
2015 ◽  
Vol 96 ◽  
Author(s):  
Rebecca Fowler ◽  
Erin Robinson
Keyword(s):  
Earth Science ◽  
Science Data ◽  
Resilient Communities ◽  
Pacific Grove ◽  
Earth Science Data ◽  
Science Information

Federation of Earth Science Information Partners 2015 Summer Meeting; Pacific Grove, California, 14–17 July 2015

Using Semantic Search and Knowledge Reasoning to Improve the Discovery of Earth Science Records

2014 ◽  
Vol 5 (2) ◽  
pp. 44-58 ◽  
Author(s):  
Kai Liu ◽  
Chaowei Yang ◽  
Wenwen Li ◽  
Zhipeng Gui ◽  
Chen Xu ◽  
...  
Keyword(s):  
Earth Science ◽  
Web Portals ◽  
Science Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Reasoning ◽  
Automated Processing ◽  
Earth Science Data ◽  
Science Information ◽  
Reasoning Engine

Web resources exploration is increasingly driven by semantic web technologies with automated processing. Earth science communities generate large amounts of datasets described in hundreds of millions of metadata records. It is critical to discover the accurate data from the millions of data records based on the end user's searching intent. However, the big challenge is how to ensure that catalogs and Spatial Web Portals can understand end user's intents. To enable portals effectively ‘understand' the meaning of user's queries and to provide a better searching experience for end users, we collaborated with Earth Science Information Partners (ESIP) to develop such a capability through a semantic Testbed. We implemented a reasoning engine using similarity calculations to facilitate the meaningful discovery of Earth science data and to improve the accuracy of searching results.

Using Semantic Search and Knowledge Reasoning to Improve the Discovery of Earth Science Records

2016 ◽  
pp. 1375-1389
Author(s):  
Kai Liu ◽  
Chaowei Yang ◽  
Wenwen Li ◽  
Zhipeng Gui ◽  
Chen Xu ◽  
...  
Keyword(s):  
Earth Science ◽  
Science Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Resources ◽  
Knowledge Reasoning ◽  
Automated Processing ◽  
Earth Science Data ◽  
Science Information ◽  
Reasoning Engine

Web resources exploration is increasingly driven by semantic web technologies with automated processing. Earth science communities generate large amounts of datasets described in hundreds of millions of metadata records. It is critical to discover the accurate data from the millions of data records based on the end user's searching intent. However, the big challenge is how to ensure that catalogs and Spatial Web Portals can understand end user's intents. To enable portals effectively ‘understand' the meaning of user's queries and to provide a better searching experience for end users, we collaborated with Earth Science Information Partners (ESIP) to develop such a capability through a semantic Testbed. We implemented a reasoning engine using similarity calculations to facilitate the meaningful discovery of Earth science data and to improve the accuracy of searching results.

scholarly journals Toward a Collective Agenda on AI for Earth Science Data Analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 88-104
Author(s):  
Devis Tuia ◽  
Ribana Roscher ◽  
Jan Dirk Wegner ◽  
Nathan Jacobs ◽  
Xiaoxiang Zhu ◽  
...  
Keyword(s):  
Data Analysis ◽  
Earth Science ◽  
Science Data ◽  
Earth Science Data

scholarly journals Giovanni: The Bridge Between Data and Science

Eos ◽  
2017 ◽  
Author(s):  
Zhong Liu ◽  
James Acker
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Science Data ◽  
Web Based ◽  
Sensing Data ◽  
Daunting Task ◽  
Earth Science Data

Using satellite remote sensing data sets can be a daunting task. Giovanni, a Web-based tool, facilitates access, visualization, and exploration for many of NASA’s Earth science data sets.

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