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 11,381 to 11,400.First566567568569570571572573Last
Id Label Status Status Modified Notation
TR006D00 Center Quick edit Valid 2013-06-11 TR006D00
TR006D00001 TR006D00001 Quick edit Valid 2013-06-11 TR006D00001
TR006D00002 TR006D00002 Quick edit Valid 2013-06-11 TR006D00002
TR006D00003 TR006D00003 Quick edit Valid 2013-06-11 TR006D00003
TR006D00004 TR006D00004 Quick edit Valid 2013-06-11 TR006D00004
TR006D00005 TR006D00005 Quick edit Valid 2013-06-11 TR006D00005
TR006D00006 TR006D00006 Quick edit Valid 2013-06-11 TR006D00006
TR006D00007 TR006D00007 Quick edit Valid 2013-06-11 TR006D00007
TR006D00008 TR006D00008 Quick edit Valid 2013-06-11 TR006D00008
TR006D00009 TR006D00009 Quick edit Valid 2013-06-11 TR006D00009
TR006D00010 TR006D00010 Quick edit Valid 2013-06-11 TR006D00010
TR006D00011 TR006D00011 Quick edit Valid 2013-06-11 TR006D00011
TR006D00012 TR006D00012 Quick edit Valid 2013-06-11 TR006D00012
TR006F Denizli Quick edit Valid 2022-10-18 TR006F
TR006L1 Denizli Quick edit Valid 2013-06-11 TR006L1
TR007C Diyarbakir Quick edit Valid 2013-06-11 TR007C
TR007C1 Diyarbakir Quick edit Valid 2013-06-11 TR007C1
TR007D01 Baglar Quick edit Valid 2013-06-11 TR007D01
TR007D01001 TR007D01001 Quick edit Valid 2013-06-11 TR007D01001
TR007D01002 TR007D01002 Quick edit Valid 2013-06-11 TR007D01002
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?