Intelligent Systems and GEOsciences Research Coordination Network-Resources

Resources

Image of IS-GEO OntoSoft Portal

IS-GEO OntoSoft Portal
http://is-geo.ontosoft.org/#list

OntoSoft is a platform to provide a community repository for geosciences software. Key features of OntoSoft are: Allowing contributors to specify structured metadata about software, including input requirements, physical variables and assumptions, and software runtime dependencies. OntoSoft uses this structured metadata to improve search, to facilitate software reuse, and to support software integration. Assisting geoscientists to make their software more reusable. OntoSoft includes mini-tutorials to introduce geoscientists to topics such as licenses, software libraries, and software reuse. Maintaining compatibility with existing software catalogues , such as software repositories (e.g., GitHub) and model frameworks (e.g., CSDMS, CIG). OntoSoft includes links to software repositories, and import/export capabilities for model frameworks.

  • OntoSoft Project

    The OntoSoft project is funded by the National Science Foundation under the EarthCube Initiative through grants ICER-1343800 and ICER-1440323

Image of Cloud HOsted Real-time Data Services (CHORDS)

Cloud HOsted Real-time Data Services (CHORDS)
https://earthcubeprojects-chords.github.io

It is a real-time data service for the geosciences that provides an easy-to-use system to acquire, navigate, and distribute real-time data via cloud services and the Internet. CHORDS aims to lower the barrier to these services, especially for small instrument teams, and broaden access to real-time data for the geosciences community.

  • EarthCube

    CHORDS is being developed for the National Science Foundation’s EarthCube program under grants 1639750, 1639720, 1639640, 1639570 and 1639554.

[ PAPER ]

A Vision for the Development of Benchmarks to Bridge Geoscience and Data Science

I. Ebert-Uphoff, D.R. Thompson, I. Demir, Y.R. Gel, M.C. Hill, A. Karpatne, M. Guereque, V. Kumar, E. Cabral-Cano, P. Smyth, A Vision for the Development of Benchmarks to Bridge Geoscience and Data Science, Proceedings of the Seventh International Workshop on Climate Informatics (CI 2017), NCAR Technical Note NCAR/TN-536+PROC, Sept 2017.

  • Provided by working group: Geoscience Case Studies and Benchmarks

[ PAPER ]

Growing Intelligent Systems for Geosciences: Strengthening the Community and Connecting Curricular Designs
https://gsa.confex.com/gsa/2016AM/webprogram/Paper286969.html

[ PAPER ]

Intelligent Systems for Geosciences: Making a Difference One Scientist at a Time
https://gsa.confex.com/gsa/2016AM/webprogram/Paper285776.html

[ PAPER ]

Exploring Synergies between Machine Learning and Knowledge Representation to Capture Scientific Knowledge

Ebert-Uphoff, I., & Gil, Y. (2015). Exploring synergies between machine learning and knowledge representation to capture scientific knowledge. In Proceedings of the 1st International Workshop on Capturing Scientific Knowledge. Palisades, NY.