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Community Ontologies for Earth System Science

Learn about SWEET ontologies designed to classify Earth system concepts and assist data resource searches. Explore modular SWEET 2.0 design with numerical and data ontologies for various Earth science applications.

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Community Ontologies for Earth System Science

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  1. Community Ontologies for Earth System Science Rob Raskin NASA/Jet Propulsion Laboratory Pasadena, CA April 3, 2008

  2. Semantic Web for Earth and Environmental Terminology (SWEET) • Concept space written in OWL • Initial focus to assist search for data resources • Funded by NASA • Later focus to serve as community standard for Earth system science • Enables scalableclassification of concepts

  3. SWEET 1.0 Ontologies Faceted Ontologies Living Substances Non-Living Substances Integrative Ontologies Natural Phenomena Physical Processes Human Activities Earth Realm Data Physical Properties Space Time Units Numerics

  4. SWEET 2.0 Modular Design Math Science Geoscience Processes Geophysical Phenomena Applications importation

  5. SWEET 2.0 Ontologies

  6. SWEET Numerical Ontologies • Intervals, numeric relations (<,>) • Cartesian products • Functions, derivatives • Fuzzy concepts • “near” • Spatial concepts • 0-D, 1-D, 2-D, and 3-D objects • Coordinate systems • Above, inside, etc. • Temporal concepts • Instant, durations, geological time scales

  7. SWEET Data Ontology • Dataset characteristics • Format, data model, dimensions, … • Provenance • Source, processing history, … • Parameters • Scale factors, offsets, … • Data services • Subsetting, reprojection, … • Quality measures • Special values • Missing, land, sea, ice, ...

  8. PlanetOnt.org

  9. Resources • SWEET • http://sweet.jpl.nasa.gov • Ontology development/sharing site • http://PlanetOnt.org • Noesis (search tool) • http://noesis.itsc.uah.edu

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