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 4
  • Step 5
20 Oct 2013
hasDistrict Quantitative
Released
  • Step 1
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  • 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 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 2,221 to 2,240.First108109110111112113114115Last
Id Label Status Status Modified Notation
DE088C Oberhausen Quick edit Valid 2022-10-18 DE088C
DE089C Lübeck Quick edit Valid 2022-10-18 DE089C
DE089F Lübeck Quick edit Valid 2022-10-18 DE089F
DE090C Hagen Quick edit Valid 2022-10-18 DE090C
DE091C Kassel Quick edit Valid 2022-10-18 DE091C
DE091F Kassel Quick edit Valid 2022-10-18 DE091F
DE092C Hamm Quick edit Valid 2022-10-18 DE092C
DE093C Herne Quick edit Valid 2022-10-18 DE093C
DE094C Solingen Quick edit Valid 2022-10-18 DE094C
DE094F Solingen Quick edit Valid 2022-10-18 DE094F
DE095C Osnabrück Quick edit Valid 2022-10-18 DE095C
DE095F Osnabrück Quick edit Valid 2022-10-18 DE095F
DE096C Ludwigshafen am Rhein Quick edit Valid 2022-10-18 DE096C
DE097C Leverkusen Quick edit Valid 2022-10-18 DE097C
DE098C Oldenburg (Oldenburg) Quick edit Valid 2022-10-18 DE098C
DE098F Oldenburg (Oldenburg) Quick edit Valid 2022-10-18 DE098F
DE099C Neuss Quick edit Valid 2022-10-18 DE099C
DE100C Heidelberg Quick edit Valid 2022-10-18 DE100C
DE100F Heidelberg Quick edit Valid 2022-10-18 DE100F
DE101C Paderborn Quick edit Valid 2022-10-18 DE101C
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?