Confluence Retirement

Due to the feedback from stakeholders and our commitment to not adversely impact USGS science activities that Confluence supports, we are extending the migration deadline to January 2023.

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is targeted for retirement. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact myusgs@usgs.gov. Thank you for your prompt attention to this matter.
Community for Data Integration
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Connecting published data and information to scientific workflows

Shanan Peters, University of Wisconsin, peters@geology.wisc.edu

Synthesizing published data and information is critical to addressing a wide range of questions in the Earth and Life sciences. Advances in machine reading and learning offers the potential to automate and improve key steps in the process of discovering and aggregating published information, but considerable computing and data infrastructure is required to power such a system. Here I describe xDD (formerly GeoDeepDive), our effort to provide such a computing and data resource. Our recent work on AI-based approaches to text, table, figure, and equation recognition and extraction will be presented.

Recording

190501-CDI-Peters.mp4

Note: presentation was in Keynote so we do not have the slides. 


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