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 1,221 to 1,240.First5859606162636465Last
Id Label Status Status Modified Notation
DE001D00025 Pankow Zentrum Quick edit Valid 2016-01-06 DE001D00025
DE001D00026 Pankow Süd Quick edit Valid 2016-01-06 DE001D00026
DE001D00027 Weißensee Quick edit Valid 2016-01-06 DE001D00027
DE001D00028 Weißensee Ost Quick edit Valid 2016-01-06 DE001D00028
DE001D00029 Prenzlauer Berg Nordwest Quick edit Valid 2016-01-06 DE001D00029
DE001D00030 Prenzlauer Berg Nord Quick edit Valid 2016-01-06 DE001D00030
DE001D00031 Helmholtzplatz Quick edit Valid 2016-01-06 DE001D00031
DE001D00032 Prenzlauer Berg Ost Quick edit Valid 2016-01-06 DE001D00032
DE001D00033 Prenzlauer Berg Südwest Quick edit Valid 2016-01-06 DE001D00033
DE001D00034 Prenzlauer Berg Süd Quick edit Valid 2016-01-06 DE001D00034
DE001D00035 Charlottenburg Nord Quick edit Valid 2016-01-06 DE001D00035
DE001D00036 Heerstrasse Quick edit Valid 2016-01-06 DE001D00036
DE001D00037 Westend Quick edit Valid 2016-01-06 DE001D00037
DE001D00038 Schloß Charlottenburg Quick edit Valid 2016-01-06 DE001D00038
DE001D00039 Mierendorffplatz Quick edit Valid 2016-01-06 DE001D00039
DE001D00040 Otto-Suhr-Allee Quick edit Valid 2016-01-06 DE001D00040
DE001D00041 Neue Kantstraße Quick edit Valid 2016-01-06 DE001D00041
DE001D00042 Kantstraße Quick edit Valid 2016-01-06 DE001D00042
DE001D00043 Kurfürstendamm Quick edit Valid 2016-01-06 DE001D00043
DE001D00044 Halensee Quick edit Valid 2016-01-06 DE001D00044
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?