Title: Collaborative research : EarthCube building blocks, leveraging semantics and linked data for geoscience data sharing and discovery, OceanLink

Type Moving Image Wiebe, Peter H., Chandler, Cynthia L., Raymond, Lisa, Shepherd, Adam, Finin, Tim, Narock, Tom, Arko, Robert A., Carbotte, Suzanne M., Hitzler, Pascal, Cheatham, Michelle, Krisnadhi, Adila (2013-10-28): Collaborative research : EarthCube building blocks, leveraging semantics and linked data for geoscience data sharing and discovery, OceanLink. Moving Image. https://darchive.mblwhoilibrary.org/handle/1912/6281

Authors: Wiebe, Peter H. ; Chandler, Cynthia L. ; Raymond, Lisa ; Shepherd, Adam ; Finin, Tim ; Narock, Tom ; Arko, Robert A. ; Carbotte, Suzanne M. ; Hitzler, Pascal ; Cheatham, Michelle ; Krisnadhi, Adila ;

Links

• Item record in Woods Hole Open Access Server
• Digital object URL

Summary

The OceanLink EarthCube project will apply state-of-the-art Semantic Web Technologies to support data representation, discovery, analysis, sharing, and integration of datasets from the global oceans, and related resources including meeting abstracts and library holdings. Ships are a principal platform from which a wide spectrum of oceanographic data are collected. At the University of Maryland, Baltimore County, semantic relationships will be extracted from text for use in developing methods that efficiently identify relationships across distributed oceanographic datasets. At Wright State University integration of disparate data will occur by refining and applying leading edge technology from the Semantic Web, ontologies, and linked data. From the MBLWHOI Library, DSpace content will be published as Linked Open Data, providing relationships between oceanographic datasets, publications, conference presentations, and funded National Science Foundation projects. Teams of researchers at the Lamont-Doherty Earth Observatory and the Woods Hole Oceanographic Institution will develop Use Cases that represent the needs of the oceanographic research community and will publish oceanographic dataset catalogs as Linked Open Data. A key contribution will be semantically-enabled cyberinfrastructure components capable of automated data integration across distributed repositories. These efforts will ultimately lead to generalized computational techniques applicable to all of EarthCube.

More information

• URI: https://hdl.handle.net/1912/6281
• Language: en_US

Subjects

• Rolling Deck to Repository (R2R), Biological and Chemical Oceanography Data Management Office (BCO-DMO)

Dates

• accessioned: October 28, 2013
• available: October 28, 2013
• Publication date: October 28, 2013

Format

electronic resource