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 1,261 to 1,280.First6061626364656667Last
Id Label Status Status Modified Notation
DE001D00065 Teltower Damm Quick edit Valid 2016-01-06 DE001D00065
DE001D00066 Drakestraße Quick edit Valid 2016-01-06 DE001D00066
DE001D00067 Zehlendorf Südwest Quick edit Valid 2016-01-06 DE001D00067
DE001D00068 Zehlendorf Nord Quick edit Valid 2016-01-06 DE001D00068
DE001D00069 Schöneberg Nord Quick edit Valid 2016-01-06 DE001D00069
DE001D00070 Schöneberg Süd Quick edit Valid 2016-01-06 DE001D00070
DE001D00071 Friedenau Quick edit Valid 2016-01-06 DE001D00071
DE001D00072 Tempelhof Quick edit Valid 2016-01-06 DE001D00072
DE001D00073 Mariendorf Quick edit Valid 2016-01-06 DE001D00073
DE001D00074 Marienfelde Quick edit Valid 2016-01-06 DE001D00074
DE001D00075 Lichtenrade Quick edit Valid 2016-01-06 DE001D00075
DE001D00076 Schillerpromenade Quick edit Valid 2016-01-06 DE001D00076
DE001D00077 Neuköllner Mitte/Zentrum Quick edit Valid 2016-01-06 DE001D00077
DE001D00078 Reuterstraße Quick edit Valid 2016-01-06 DE001D00078
DE001D00079 Rixdorf Quick edit Valid 2016-01-06 DE001D00079
DE001D00080 Köllnische Heide Quick edit Valid 2016-01-06 DE001D00080
DE001D00081 Britz Quick edit Valid 2016-01-06 DE001D00081
DE001D00082 Buckow Quick edit Valid 2016-01-06 DE001D00082
DE001D00083 Gropiusstadt Quick edit Valid 2016-01-06 DE001D00083
DE001D00084 Buckow Nord Quick edit Valid 2016-01-06 DE001D00084
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?