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 1,521 to 1,540.First7374757677787980Last
Id Label Status Status Modified Notation
DE005D00013 Altstadt, Innenstadt, Bahnhofsviertel, Gutleutviertel, Gallusviertel Quick edit Valid 2013-06-11 DE005D00013
DE005D00014 Sachsenhausen-Nord, Niederrad Quick edit Valid 2013-06-11 DE005D00014
DE005D00015 Sachsenhausen-Süd, Flughafen, Oberrad Quick edit Valid 2013-06-11 DE005D00015
DE005D00016 Süd-West Quick edit Valid 2013-06-11 DE005D00016
DE005D00017 Griesheim, Nied Quick edit Valid 2013-06-11 DE005D00017
DE005D00018 West 3 Quick edit Valid 2013-06-11 DE005D00018
DE005F Frankfurt am Main Quick edit Valid 2022-10-18 DE005F
DE005L1 Frankfurt am Main Quick edit Valid 2013-06-11 DE005L1
DE006C Essen Quick edit Valid 2013-06-11 DE006C
DE006C1 Essen Quick edit Valid 2013-06-11 DE006C1
DE006D00 DE006D00 Quick edit Valid 2013-06-11 DE006D00
DE006D00001 Stadtkern, Ost-, Nord-, West-, Südviertel Quick edit Valid 2013-06-11 DE006D00001
DE006D00006 Südostviertel, Huttrop, Frillendorf Quick edit Valid 2013-06-11 DE006D00006
DE006D00007 Altendorf Quick edit Valid 2013-06-11 DE006D00007
DE006D00008 Frohnhausen Quick edit Valid 2013-06-11 DE006D00008
DE006D00009 Holsterhausen Quick edit Valid 2013-06-11 DE006D00009
DE006D00010 Rüttenscheid Quick edit Valid 2013-06-11 DE006D00010
DE006D00012 Rellinghsn, Bergerhsn, Stadtwald Quick edit Valid 2013-06-11 DE006D00012
DE006D00015 Fulerum, Schuir, Haarz., Margarethenh. Quick edit Valid 2013-06-11 DE006D00015
DE006D00016 Schönebeck, Bedingrade, Frintrop Quick edit Valid 2013-06-11 DE006D00016
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?