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 11,461 to 11,480.First570571572573574575576577Last
Id Label Status Status Modified Notation
TR010D01008 TR010D01008 Quick edit Valid 2013-06-11 TR010D01008
TR010D01009 TR010D01009 Quick edit Valid 2013-06-11 TR010D01009
TR010D01010 TR010D01010 Quick edit Valid 2013-06-11 TR010D01010
TR010D01011 TR010D01011 Quick edit Valid 2013-06-11 TR010D01011
TR010D01012 TR010D01012 Quick edit Valid 2013-06-11 TR010D01012
TR010D01013 TR010D01013 Quick edit Valid 2013-06-11 TR010D01013
TR010D01014 TR010D01014 Quick edit Valid 2013-06-11 TR010D01014
TR010D01015 TR010D01015 Quick edit Valid 2013-06-11 TR010D01015
TR010D01016 TR010D01016 Quick edit Valid 2013-06-11 TR010D01016
TR010D01017 TR010D01017 Quick edit Valid 2013-06-11 TR010D01017
TR010D02 sehitkamil Quick edit Valid 2013-06-11 TR010D02
TR010D02018 TR010D02018 Quick edit Valid 2013-06-11 TR010D02018
TR010D02019 TR010D02019 Quick edit Valid 2013-06-11 TR010D02019
TR010D02020 TR010D02020 Quick edit Valid 2013-06-11 TR010D02020
TR010D02021 TR010D02021 Quick edit Valid 2013-06-11 TR010D02021
TR010D02022 TR010D02022 Quick edit Valid 2013-06-11 TR010D02022
TR010D02023 TR010D02023 Quick edit Valid 2013-06-11 TR010D02023
TR010D02024 TR010D02024 Quick edit Valid 2013-06-11 TR010D02024
TR010D02025 TR010D02025 Quick edit Valid 2013-06-11 TR010D02025
TR010D02026 TR010D02026 Quick edit Valid 2013-06-11 TR010D02026
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?