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
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  • 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 13,221 to 13,240.First658659660661662663664665Last
Id Label Status Status Modified Notation
UK129F Rushmoor Quick edit Valid 2022-10-18 UK129F
UK130C Rugby Quick edit Valid 2022-10-18 UK130C
UK130C1 Tower Hamlets Quick edit Valid 2013-06-11 UK130C1
UK131C Corby Quick edit Valid 2022-10-18 UK131C
UK131C1 Waltham Forest Quick edit Valid 2013-06-11 UK131C1
UK131F Corby Quick edit Valid 2022-10-18 UK131F
UK132C Kettering Quick edit Valid 2022-10-18 UK132C
UK132C1 Wandsworth Quick edit Valid 2013-06-11 UK132C1
UK132F Kettering Quick edit Valid 2022-10-18 UK132F
UK133C Inverclyde (Greenock) Quick edit Valid 2022-10-18 UK133C
UK133C1 Westminster Quick edit Valid 2013-06-11 UK133C1
UK134C Renfrewshire (Paisley) Quick edit Valid 2022-10-18 UK134C
UK135C Derry & Strabane Local Government District Quick edit Valid 2022-10-18 UK135C
UK135F Derry & Strabane Local Government District Quick edit Valid 2022-10-18 UK135F
UK136C Inverclyde (Greenock) Quick edit Valid 2022-10-18 UK136C
UK137C Renfrewshire (Paisley) Quick edit Valid 2022-10-18 UK137C
UK138C Derry & Strabane Local Government District Quick edit Valid 2022-10-18 UK138C
UK138F Derry & Strabane Local Government District (identical to the city) Quick edit Valid 2022-10-18 UK138F
UK501C1 Kirklees Quick edit Valid 2013-06-11 UK501C1
UK501L0 Kirklees Quick edit Valid 2013-06-11 UK501L0
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?