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How IRI is using RDF/OWL Technologies for both Discovery and Use Metadata

How IRI is using RDF/OWL Technologies for both Discovery and Use Metadata. M.Benno Blumenthal, Michael Bell, John del Corral, and Emily Grover-Kopec International Research Institute for Climate and Society Columbia University http://iridl.ldeo.columbia.edu/. Faceted Search Interface.

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How IRI is using RDF/OWL Technologies for both Discovery and Use Metadata

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  1. How IRI is using RDF/OWL Technologies for both Discovery and Use Metadata M.Benno Blumenthal, Michael Bell, John del Corral, and Emily Grover-KopecInternational Research Institute for Climate and SocietyColumbia Universityhttp://iridl.ldeo.columbia.edu/

  2. Faceted Search Interface

  3. RDF: framework for writing connections Triplets of • Subject • Property (or Predicate) • Object URI’s identify things, i.e. most of the above

  4. Datatype Properties WOA dc:title “NOAA NODC WOA01” WOA dc:description “NOAA NODC WOA01: World Ocean Atlas 2001, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales. Resolution: 1x1; Longitude: global; Latitude: global; Depth: [0 m,5500 m]; Time: [Jan,Dec]; monthly”

  5. Object Properties WOA dcterm:hasPart MONTHLY Alternatively WOA my:hasSubDataset MONTHLY my:hasSubDataset rdfs:subPropertyOf dcterm:hasPart

  6. netcdf/CF in RDF Object properties provide a framework for explicitly writing down relationships between data objects/components, e.g. vague meaning of nesting is made explicit Properties also can be related, since they are objects too {SST a cfatt:non_coordinate_variable, SST cfatt:standard_name cf:sea_surface_temperature, SST netcdf:hasDimension longitude }

  7. Ontologies Use Conventions to connect concepts to established sets of concepts Generate additional “virtual” triples from the original set and semantics RDFS – some property/class semantics OWL – additional property/class semantics “late semantic binding”

  8. Search Interface • Items (datasets/maps) • Terms • Facets • Taxa

  9. Search Interface Semantic API {item} dc:title dc:description rss:link iridl:icon dcterm:isPartOf {item2} dcterm:isReplacedBy {item2} {item} trm:isDescribedBy {term} {term} a {facet} of {taxa} of {trm:Term}, {facet} a {trm:Facet}, {taxa} a {trm:Taxa}, {term} trm:directlyImplies {term2}

  10. Ontologies Data Servers MMI JPL bibliography Start Point Standards Organizations RDF Crawler Location Canonicalizer RDFS Semantics Owl Semantics SWRL Rules SeRQL CONSTRUCT Time Canonicalizer Sesame Search Queries Search Interface

  11. Maproom Search: Humidity

  12. Maproom Search: precipitation

  13. In a more perfect world • Conventions would have RDF/OWL ontologies expressing them • Metadata transport mechanisms would carry • explicit properties between their data objects/components, • Explicitly map their properties to conventions

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