Catalog/convey
Active
By Center of Excellence for Geospatial Information Science (CEGIS)
January 23, 2025
Catalog/convey
part of the Data management theme from CEGIS
part of the Data management theme from CEGIS
Effective cataloging of our data is what makes it findable for users and systematic search.
Data conveyance, or movement internally and externally, is imperative to ensuring validity and rate of access to our information, as well as optimizing resources like labor required or network access.
Publications
Publications
You will find here a sampling of publications. More are available and are being published throughout the year.
Check back often or view our custom search for more!
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A guide to creating an effective big data management framework A guide to creating an effective big data management framework
Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced with challenges in storing data and ingesting it, transferring it between internal programs, and egressing it to external entities. As a result, these agencies and organizations may inadvertently devote unnecessary time and money to convey...Open knowledge network roadmap: Powering the next data revolution Open knowledge network roadmap: Powering the next data revolution
Open access to shared information is essential for the development and evolution of artificial intelligence (AI) and AI-powered solutions needed to address the complex challenges facing the nation and the world. The Open Knowledge Network (OKN), an interconnected network of knowledge graphs, would provide an essential public-data infrastructure for enabling an AI-driven future. It would...A geospatial knowledge graph prototype for national topographic mapping A geospatial knowledge graph prototype for national topographic mapping
Knowledge graphs are a form of database representation and handling that show the potential to better meet the challenges of data interoperability, semi-automated information reasoning, and information retrieval. Geospatial knowledge graphs (GKG) have at their core specialized forms of applied ontology that provide coherent spatial context to a domain of information including non-spatial...GeoAI in the US Geological Survey for topographic mapping GeoAI in the US Geological Survey for topographic mapping
Geospatial artificial intelligence (GeoAI) can be defined broadly as the application of artificial intelligence methods and techniques to geospatial data, processes, models, and applications. The application of these methods to topographic data and phenomena is a focus of research in the US Geological Survey (USGS). Specifically, the USGS has researched and developed applications in...Spatial data reduction through element -of-interest (EOI) extraction Spatial data reduction through element -of-interest (EOI) extraction
Any large, multifaceted data collection that is challenging to handle with traditional management practices can be branded ‘Big Data.’ Any big data containing geo-referenced attributes can be considered big geospatial data. The increased proliferation of big geospatial data is currently reforming the geospatial industry into a data-driven enterprise. Challenges in the big spatial data...
CEGIS - Denver, Colorado
CEGIS - Denver, Colorado
CEGIS - Rolla, Missouri
CEGIS - Rolla, Missouri
CEGIS - Denver, Colorado
CEGIS - Denver, Colorado
CEGIS - Rolla, Missouri
CEGIS - Rolla, Missouri