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Publishing and Using Earth Observation Data with the RDF Data Cube and the Discrete Global Grid System
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| Definitionskos:definition | This document describes how dense geospatial raster data can be represented using the W3C RDF Data Cube (QB) ontology [vocab-data-cube] in concert with other popular ontologies including the W3C/OGC Semantic Sensor Network ontology (SSN) [vocab-ssn], the W3C/OGC Time ontology (Time) [owl-time], the W3C Simple Knowledge Organisation System (SKOS) [skos-reference], W3C PROV-O [prov-o] and the W3C/OGC QB4ST [qb4st]. It offers general methods supported by worked examples that focus on Earth observation imagery. Current triple stores, as the default database architecture for RDF, are not suitable for storing voluminous data like gridded coverages derived from Landsat satellite sensors. However we show here how SPARQL queries can be served through an OGC Discrete Global Grid System for observational data, coupled with a triple store for observational metadata. While the approach may also be suitable for other forms of coverage, we leave the application to such data as an exercise for the reader. |
|---|---|
| Broaderbroader | Discussion Paper |
| http://purl.org/dc/terms/createdcreated | 2020-09-17 |
| Creatorcreator | Dmitry Brizhinev, Sam Toyer, Kerry Taylor |
| seeAlsoseeAlso | https://www.w3.org/TR/eo-qb/ |
| Statusstatus | valid |
| Notationnotation | 16-125 |
| Alternative LabelaltLabel | Publishing and Using Earth Observation Data with the RDF Data Cube and the Discrete Global Grid System |
| 16-125 | |
| OGC document typedoctype | Discussion Paper |