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 13,121 to 13,140.First653654655656657658659660Last
Id Label Status Status Modified Notation
UK094C Telford and Wrekin Quick edit Valid 2022-10-18 UK094C
UK094F Telford and Wrekin Quick edit Valid 2022-10-18 UK094F
UK095C North East Lincolnshire Quick edit Valid 2022-10-18 UK095C
UK095F North East Lincolnshire Quick edit Valid 2022-10-18 UK095F
UK096C Chelmsford Quick edit Valid 2022-10-18 UK096C
UK096F Telford and Wrekin (identical to the city) Quick edit Valid 2022-10-18 UK096F
UK097C Peterborough Quick edit Valid 2022-10-18 UK097C
UK097F Peterborough Quick edit Valid 2022-10-18 UK097F
UK098C Colchester Quick edit Valid 2022-10-18 UK098C
UK098F Colchester Quick edit Valid 2022-10-18 UK098F
UK099C South Tyneside Quick edit Valid 2022-10-18 UK099C
UK099F Peterborough (identical to the city) Quick edit Valid 2022-10-18 UK099F
UK100C Basingstoke and Deane Quick edit Valid 2022-10-18 UK100C
UK100F Basingstoke and Deane Quick edit Valid 2022-10-18 UK100F
UK101C Bedford Quick edit Valid 2022-10-18 UK101C
UK101C1 City of London Quick edit Valid 2013-06-11 UK101C1
UK101F Bedford Quick edit Valid 2022-10-18 UK101F
UK102C Dundee City Quick edit Valid 2022-10-18 UK102C
UK102C1 Barking and Dagenham Quick edit Valid 2013-06-11 UK102C1
UK102F Dundee City Quick edit Valid 2022-10-18 UK102F
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?