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
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  • Step 5
20 Oct 2013
hasDistrict Quantitative
Released
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  • Step 5
20 Oct 2013
inCountry Vocabulary
Released
  • Step 1
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  • Step 4
  • Step 5
29 Aug 2014
owl:sameAs Quantitative
Released
  • Step 1
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  • 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
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  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
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  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
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  • 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 1,341 to 1,360.First6465666768697071Last
Id Label Status Status Modified Notation
DE001D07 Tempelhof-Schöneberg Quick edit Valid 2013-06-11 DE001D07
DE001D08 Neukölln Quick edit Valid 2013-06-11 DE001D08
DE001D09 Treptow-Köpenick Quick edit Valid 2013-06-11 DE001D09
DE001D10 Marzahn-Hellersdorf Quick edit Valid 2013-06-11 DE001D10
DE001D11 Lichtenberg Quick edit Valid 2013-06-11 DE001D11
DE001D12 Reinickendorf Quick edit Valid 2013-06-11 DE001D12
DE001F Berlin Quick edit Valid 2022-10-18 DE001F
DE001L1 Berlin Quick edit Valid 2013-06-11 DE001L1
DE002C Hamburg Quick edit Valid 2013-06-11 DE002C
DE002C1 Hamburg Quick edit Valid 2013-06-11 DE002C1
DE002D00 DE002D00 Quick edit Valid 2013-06-11 DE002D00
DE002D00801 Innenstadt Quick edit Valid 2013-06-11 DE002D00801
DE002D00802 St. Pauli Quick edit Valid 2013-06-11 DE002D00802
DE002D00803 Hamm Quick edit Valid 2013-06-11 DE002D00803
DE002D00804 Horn Quick edit Valid 2013-06-11 DE002D00804
DE002D00805 Billstedt-Nord Quick edit Valid 2013-06-11 DE002D00805
DE002D00806 Billstedt-Süd Quick edit Valid 2013-06-11 DE002D00806
DE002D00807 Hafen Quick edit Valid 2013-06-11 DE002D00807
DE002D00808 Altona-Altstadt Quick edit Valid 2013-06-11 DE002D00808
DE002D00809 Altona-Nord Quick edit Valid 2013-06-11 DE002D00809
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?