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A Linked Science Investigation: Enhancing Climate Change Data Discovery with Semantic Technologies.

Line C Pouchard1, Marcia L Branstetter1, Robert B Cook1

  • 1Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831.

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Summary
This summary is machine-generated.

Linked Science connects scientific data across institutions using workflows. Ontologies enhance data discovery in tools like Mercury, improving access to experimental and climate data.

Keywords:
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Area of Science:

  • Environmental Science
  • Data Science
  • Computational Science

Background:

  • Linked Science facilitates the sharing and reuse of scientific data through interconnected workflows.
  • Much scientific data resides in multi-institutional data centers, not the cloud, requiring specialized tools for access and analysis.
  • Ontologies, as formal machine-readable descriptions, are crucial for enabling effective data search and discovery.

Purpose of the Study:

  • To advocate for the use of scientific scenarios in Linked Science practices.
  • To propose a river-channel transport scenario integrating biogeochemical and climate simulation data.
  • To demonstrate how ontologies can enhance data search and retrieval within distributed data systems.

Main Methods:

  • Utilized a river-channel transport scenario requiring diverse data sources.
  • Focused on employing ontologies for data search and discovery.
  • Augmented the Mercury tool with ontologies from the Semantic Web for Earth and Environmental Terminology (SWEET) collection.
  • Prototyped a component for accessing SWEET ontology terms within Mercury.
  • Evaluated the coverage of SWEET for the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC).

Main Results:

  • Demonstrated the integration of experimental and climate model data through a specific scientific scenario.
  • Successfully augmented Mercury's search capabilities with ontology-driven access.
  • Showcased the utility of SWEET ontologies for enhancing metadata retrieval.
  • Provided an evaluation of SWEET's applicability to the ORNL DAAC.

Conclusions:

  • Scientific scenarios are valuable for driving Linked Science initiatives.
  • Ontology integration significantly improves the searchability and accessibility of distributed scientific data.
  • Tools like Mercury, enhanced with ontologies, can effectively bridge data silos and support complex scientific inquiries.