How IRI is using RDFOWL Technologies for both

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

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

Datatype Properties WOA dc: title “NOAA NODC WOA 01” WOA dc: description “NOAA NODC WOA 01: World Ocean Atlas 2001, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales. Resolution: 1 x 1; Longitude: global; Latitude: global; Depth: [0 m, 5500 m]; Time: [Jan, Dec]; monthly”

Object Properties WOA dcterm: has. Part MONTHLY Alternatively WOA my: has. Sub. Dataset MONTHLY my: has. Sub. Dataset rdfs: sub. Property. Of dcterm: has. Part

netcdf/CF in RDF {SST a cfatt: non_coordinate_variable, SST cfatt: standard_name cf: sea_surface_temperature, SST netcdf: has. Dimension longitude } 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

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”

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

Search Interface Semantic API {item} dc: title dc: description rss: link iridl: icon dcterm: is. Part. Of {item 2} dcterm: is. Replaced. By {item 2} {item} trm: is. Described. By {term} a {facet} of {taxa} of {trm: Term}, {facet} a {trm: Facet}, {taxa} a {trm: Taxa}, {term} trm: directly. Implies {term 2}

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

Maproom Search: Humidity

Maproom Search: precipitation

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