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Source: AUSPLOTS_RANGELANDS.POINT_INTERCEPT
Interpretation in TERN Plot Ontology
Encoding each row in RDF requires:
Mapping Table
Source Column | Destination RDF Predicate | Comments |
---|
id
| dct:identifier , rdfs:label
| |
site_location_visit_id
| plot:wasSubActivityOf
| Domain: ssn-ext:ObservationCollection with dct:type SITE AND LOCATION Range: plot:SiteVisit |
veg_barcode
| sosa:isSampleOf
| Domain: ssn-ext:ObservationCollection with dct:type PLANT SPECIES Range: sosa:Sample sosa:hasResult :
rdf:type : data:Text
data:value : veg_barcode
Create sosa:Sampling instance If exists, VEG_BARCODE is a sub sample of the POINT_NUMBER sample. |
method
| | Not captured by TERN Plot Ontology. All values are either null, “STAFF”, “EMPTY”, or “Staff”. Values appear to be useless information for end-user. |
point_number
| sosa:hasSample
| Member of ssn-ext:ObservationCollection with dct:type VEGETATION STRUCTURE Range: sosa:Sample sosa:hasResult :
rdf:type : data:Text
data:value : point_number
sosa:isResultOf :
|
substrate
| ssn-ext:hasMember , sosa:hasResult
| Member of ssn-ext:ObservationCollection with dct:type GROUND COVER |
in_canopy_sky
| ssn-ext:hasMember , sosa:hasResult
| Member of ssn-ext:ObservationCollection with dct:type VEGETATION STRUCTURE |
dead
| ssn-ext:hasMember , sosa:hasResult
| Member of ssn-ext:ObservationCollection with dct:type VEGETATION STRUCTURE |
growth_form
| ssn-ext:hasMember , sosa:hasResult
| Member of ssn-ext:ObservationCollection with dct:type VEGETATION STRUCTURE |
height
| ssn-ext:hasMember , sosa:hasResult
| Member of ssn-ext:ObservationCollection with dct:type VEGETATION STRUCTURE |
transect
| ssn-ext:hasMember , sosa:hasResult
| Member of ssn-ext:ObservationCollection with dct:type VEGETATION STRUCTURE The values of this could be created into a controlled vocabulary if AusPlots guys can guarantee no new values are entered in the future. |
Example Row
Example RDF
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