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 11,001 to 11,020.First547548549550551552553554Last
Id Label Status Status Modified Notation
SI001D00012 POLJE Quick edit Valid 2013-06-11 SI001D00012
SI001D00013 RUDNIK Quick edit Valid 2013-06-11 SI001D00013
SI001D00014 SOSTRO Quick edit Valid 2013-06-11 SI001D00014
SI001D00015 SENTVID in SMARNA GORA Quick edit Valid 2013-06-11 SI001D00015
SI001D00016 DRAVLJE Quick edit Valid 2013-06-11 SI001D00016
SI001F Osrednjeslovenska Quick edit Valid 2022-10-18 SI001F
SI001L1 Ljubljana Quick edit Valid 2013-06-11 SI001L1
SI001L2 Ljubljana Quick edit Valid 2017-10-05 SI001L2
SI002C1 Maribor Quick edit Valid 2013-06-11 SI002C1
SI002D00 SI002D00 Quick edit Valid 2013-06-11 SI002D00
SI002D00001 STUDENCI z okoliskimi KS Quick edit Valid 2013-06-11 SI002D00001
SI002D00002 POBREZJE in BREZJE-DOGOSE-ZRKOVCI Quick edit Valid 2013-06-11 SI002D00002
SI002D00003 TABOR Quick edit Valid 2013-06-11 SI002D00003
SI002D00004 MAGDALENA Quick edit Valid 2013-06-11 SI002D00004
SI002D00005 RADVANJE z okoliskimi KS Quick edit Valid 2013-06-11 SI002D00005
SI002D00006 NOVA VAS Quick edit Valid 2013-06-11 SI002D00006
SI002D00007 IVAN CANKAR z okoliskimi KS Quick edit Valid 2013-06-11 SI002D00007
SI002D00008 CENTER Quick edit Valid 2013-06-11 SI002D00008
SI002D00009 KOROSKA VRATA Quick edit Valid 2013-06-11 SI002D00009
SI002D00010 TEZNO Quick edit Valid 2013-06-11 SI002D00010
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?