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 12,801 to 12,820.First637638639640641642643644Last
Id Label Status Status Modified Notation
UK024D00001 Arboretum Quick edit Valid 2013-06-11 UK024D00001
UK024D00002 Battenhall Quick edit Valid 2013-06-11 UK024D00002
UK024D00003 Bedwardine Quick edit Valid 2013-06-11 UK024D00003
UK024D00004 Cathedral Quick edit Valid 2013-06-11 UK024D00004
UK024D00005 Claines Quick edit Valid 2013-06-11 UK024D00005
UK024D00006 Gorse Hill Quick edit Valid 2013-06-11 UK024D00006
UK024D00007 Nunnery Quick edit Valid 2013-06-11 UK024D00007
UK024D00008 Rainbow Hill Quick edit Valid 2013-06-11 UK024D00008
UK024D00009 St Clement Quick edit Valid 2013-06-11 UK024D00009
UK024D00010 St John Quick edit Valid 2013-06-11 UK024D00010
UK024D00011 St Peter's Parish Quick edit Valid 2013-06-11 UK024D00011
UK024D00012 St Stephen Quick edit Valid 2013-06-11 UK024D00012
UK024D00013 Warndon Quick edit Valid 2013-06-11 UK024D00013
UK024D00014 Warndon Parish North Quick edit Valid 2013-06-11 UK024D00014
UK024D00015 Warndon Parish South Quick edit Valid 2013-06-11 UK024D00015
UK024F Coventry Quick edit Valid 2022-10-18 UK024F
UK024L0 Worcester Quick edit Valid 2013-06-11 UK024L0
UK024L1 Worcester Quick edit Valid 2017-02-14 UK024L1
UK025C Kingston-upon-Hull Quick edit Valid 2015-04-20 UK025C
UK025C1 Coventry Quick edit Valid 2013-06-11 UK025C1
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?