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 1,281 to 1,300.First6162636465666768Last
Id Label Status Status Modified Notation
DE001D00085 Rudow Quick edit Valid 2016-01-06 DE001D00085
DE001D00086 Alt-Treptow Quick edit Valid 2016-01-06 DE001D00086
DE001D00087 Plänterwald Quick edit Valid 2016-01-06 DE001D00087
DE001D00088 Baumschulenweg Quick edit Valid 2016-01-06 DE001D00088
DE001D00089 Johannisthal Quick edit Valid 2016-01-06 DE001D00089
DE001D00090 Oberschöneweide Quick edit Valid 2016-01-06 DE001D00090
DE001D00091 Niederschöneweide Quick edit Valid 2016-01-06 DE001D00091
DE001D00092 Adlershof Quick edit Valid 2016-01-06 DE001D00092
DE001D00093 Köllnische Vorstadt/Spindlersfeld Quick edit Valid 2016-01-06 DE001D00093
DE001D00094 Altglienicke Quick edit Valid 2016-01-06 DE001D00094
DE001D00095 Bohnsdorf Quick edit Valid 2016-01-06 DE001D00095
DE001D00096 Grünau Quick edit Valid 2016-01-06 DE001D00096
DE001D00097 Schmöckwitz/Karolinenhof/Rauchfangswerder Quick edit Valid 2016-01-06 DE001D00097
DE001D00098 Köpenick Süd Quick edit Valid 2016-01-06 DE001D00098
DE001D00099 Allende-Viertel Quick edit Valid 2016-01-06 DE001D00099
DE001D00100 Altstadt Kietz Quick edit Valid 2016-01-06 DE001D00100
DE001D00101 Müggelheim Quick edit Valid 2016-01-06 DE001D00101
DE001D00102 Friedrichshagen Quick edit Valid 2016-01-06 DE001D00102
DE001D00103 Rahnsdorf/Hessenwinkel Quick edit Valid 2016-01-06 DE001D00103
DE001D00104 Dammvorstadt Quick edit Valid 2016-01-06 DE001D00104
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?