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 1,621 to 1,640.First7879808182838485Last
Id Label Status Status Modified Notation
DE009D00016 Cotta, Löbtau, Naußlitz Quick edit Valid 2013-06-11 DE009D00016
DE009D00017 Briesnitz, westliche Ortschaften Quick edit Valid 2013-06-11 DE009D00017
DE009F Dresden Quick edit Valid 2022-10-18 DE009F
DE009L2 Dresden Quick edit Valid 2013-06-11 DE009L2
DE010C Dortmund Quick edit Valid 2013-06-11 DE010C
DE010C1 Dortmund Quick edit Valid 2013-06-11 DE010C1
DE010D00 DE010D00 Quick edit Valid 2013-06-11 DE010D00
DE010D00001 Innenstadt-West I Quick edit Valid 2013-06-11 DE010D00001
DE010D00002 Innenstadt-West II Quick edit Valid 2013-06-11 DE010D00002
DE010D00003 Innenstadt-Nord I Quick edit Valid 2013-06-11 DE010D00003
DE010D00004 Innenstadt-Nord II Quick edit Valid 2013-06-11 DE010D00004
DE010D00005 Innenstadt-Ost I Quick edit Valid 2013-06-11 DE010D00005
DE010D00006 Innenstadt-Ost II Quick edit Valid 2013-06-11 DE010D00006
DE010D00007 Eving Quick edit Valid 2013-06-11 DE010D00007
DE010D00008 Scharnhorst I Quick edit Valid 2013-06-11 DE010D00008
DE010D00009 Scharnhorst II Quick edit Valid 2013-06-11 DE010D00009
DE010D00010 Brackel I Quick edit Valid 2013-06-11 DE010D00010
DE010D00011 Brackel II Quick edit Valid 2013-06-11 DE010D00011
DE010D00012 Aplerbeck I Quick edit Valid 2013-06-11 DE010D00012
DE010D00013 Aplerbeck II Quick edit Valid 2013-06-11 DE010D00013
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?