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 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
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  • 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 2,401 to 2,420.First117118119120121122123124Last
Id Label Status Status Modified Notation
DK001L2 København Quick edit Valid 2013-06-11 DK001L2
DK002C Århus Quick edit Valid 2015-04-20 DK002C
DK002C1 Århus Quick edit Valid 2013-06-11 DK002C1
DK002D00 DK002D00 Quick edit Valid 2013-06-11 DK002D00
DK002D00001 City og Havnen Quick edit Valid 2013-06-11 DK002D00001
DK002D00002 Frederiksbjerg Quick edit Valid 2013-06-11 DK002D00002
DK002D00003 Vesterbro Quick edit Valid 2013-06-11 DK002D00003
DK002D00004 Trøjborg Quick edit Valid 2013-06-11 DK002D00004
DK002D00011 Holme-Højbjerg-Skåde Quick edit Valid 2013-06-11 DK002D00011
DK002D00012 Viby Quick edit Valid 2013-06-11 DK002D00012
DK002D00013 Hasle Quick edit Valid 2013-06-11 DK002D00013
DK002D00014 Christiansbjerg Quick edit Valid 2013-06-11 DK002D00014
DK002D00015 Vejlby-Risskov Quick edit Valid 2013-06-11 DK002D00015
DK002D00016 Åby Quick edit Valid 2013-06-11 DK002D00016
DK002D00021 Tranbjerg Quick edit Valid 2013-06-11 DK002D00021
DK002D00022 Hasselager-Kolt og Stavtrup-Ormslev Quick edit Valid 2013-06-11 DK002D00022
DK002D00024 Brabrand-Gjellerup Quick edit Valid 2013-06-11 DK002D00024
DK002D00025 Tilst-Brabrand Nord Quick edit Valid 2013-06-11 DK002D00025
DK002D00026 Skejby-Lisbjerg og Lystrup-Elsted-Elev Quick edit Valid 2013-06-11 DK002D00026
DK002D00028 Skæring-Egå Quick edit Valid 2013-06-11 DK002D00028
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?