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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20 Oct 2013
hasDistrict Quantitative
Released
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20 Oct 2013
inCountry Vocabulary
Released
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  • 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
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  • Step 4
  • Step 5
30 Sep 2013
skos:closeMatch Quantitative
Released
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30 Sep 2013
skos:exactMatch Quantitative
Released
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  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
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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 1,541 to 1,560.First7475767778798081Last
Id Label Status Status Modified Notation
DE006D00019 Dellwig, Gerschede, Borbeck-Mitte Quick edit Valid 2013-06-11 DE006D00019
DE006D00022 Bochold, Bergeborbeck Quick edit Valid 2013-06-11 DE006D00022
DE006D00024 Altenessen-Nord, Karnap, Vogelheim Quick edit Valid 2013-06-11 DE006D00024
DE006D00025 Altenessen-Süd Quick edit Valid 2013-06-11 DE006D00025
DE006D00026 Brederney, Werder, Fischlaken Quick edit Valid 2013-06-11 DE006D00026
DE006D00031 Heisingen, Kupferdreh, Byfang Quick edit Valid 2013-06-11 DE006D00031
DE006D00034 Steele, Leithe Quick edit Valid 2013-06-11 DE006D00034
DE006D00035 Kray Quick edit Valid 2013-06-11 DE006D00035
DE006D00037 Schonnebeck, Stoppenberg Quick edit Valid 2013-06-11 DE006D00037
DE006D00039 Katernberg Quick edit Valid 2013-06-11 DE006D00039
DE006D00043 Überruhr-Hinsel, -Holth., Burgaltendorf Quick edit Valid 2013-06-11 DE006D00043
DE006D00045 Freisenbruch, Horst Quick edit Valid 2013-06-11 DE006D00045
DE006D00049 Heidhausen, Kettwig Quick edit Valid 2013-06-11 DE006D00049
DE006F Ruhrgebiet Quick edit Valid 2022-10-18 DE006F
DE007C1 Stuttgart Quick edit Valid 2013-06-11 DE007C1
DE007D00 DE007D00 Quick edit Valid 2013-06-11 DE007D00
DE007D00001 Mitte Quick edit Valid 2013-06-11 DE007D00001
DE007D00002 Nord Quick edit Valid 2013-06-11 DE007D00002
DE007D00003 Ost 1 Quick edit Valid 2013-06-11 DE007D00003
DE007D00004 Ost 2 Quick edit Valid 2013-06-11 DE007D00004
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?