Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
coreCityOf Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Oct 2013
hasDistrict Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Oct 2013
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:closeMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

13,394 concepts found, displaying 12,241 to 12,260.First609610611612613614615616Last
Id Label Status Status Modified Notation
UK004D00031 Greenfield Quick edit Valid 2013-06-11 UK004D00031
UK004D00032 Hayburn Quick edit Valid 2013-06-11 UK004D00032
UK004D00033 Hillhead Quick edit Valid 2013-06-11 UK004D00033
UK004D00034 Hutchesontown Quick edit Valid 2013-06-11 UK004D00034
UK004D00035 Hyndland Quick edit Valid 2013-06-11 UK004D00035
UK004D00036 Ibrox Quick edit Valid 2013-06-11 UK004D00036
UK004D00037 Jordanhill Quick edit Valid 2013-06-11 UK004D00037
UK004D00038 Kelvindale Quick edit Valid 2013-06-11 UK004D00038
UK004D00039 Kelvingrove Quick edit Valid 2013-06-11 UK004D00039
UK004D00040 Keppochhill Quick edit Valid 2013-06-11 UK004D00040
UK004D00041 King's Park Quick edit Valid 2013-06-11 UK004D00041
UK004D00042 Kingston Quick edit Valid 2013-06-11 UK004D00042
UK004D00043 Knightswood Park Quick edit Valid 2013-06-11 UK004D00043
UK004D00044 Knightswood South Quick edit Valid 2013-06-11 UK004D00044
UK004D00045 Langside Quick edit Valid 2013-06-11 UK004D00045
UK004D00046 Maryhill Quick edit Valid 2013-06-11 UK004D00046
UK004D00047 Maxwell Park Quick edit Valid 2013-06-11 UK004D00047
UK004D00048 Merchant City Quick edit Valid 2013-06-11 UK004D00048
UK004D00049 Milnbank Quick edit Valid 2013-06-11 UK004D00049
UK004D00050 Milton Quick edit Valid 2013-06-11 UK004D00050
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?