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 11,341 to 11,360.First564565566567568569570571Last
Id Label Status Status Modified Notation
TR005D02010 TR005D02010 Quick edit Valid 2013-06-11 TR005D02010
TR005D02011 TR005D02011 Quick edit Valid 2013-06-11 TR005D02011
TR005D02012 TR005D02012 Quick edit Valid 2013-06-11 TR005D02012
TR005D02013 TR005D02013 Quick edit Valid 2013-06-11 TR005D02013
TR005D02014 TR005D02014 Quick edit Valid 2013-06-11 TR005D02014
TR005D02015 TR005D02015 Quick edit Valid 2013-06-11 TR005D02015
TR005D02016 TR005D02016 Quick edit Valid 2013-06-11 TR005D02016
TR005D02017 TR005D02017 Quick edit Valid 2013-06-11 TR005D02017
TR005D02018 TR005D02018 Quick edit Valid 2013-06-11 TR005D02018
TR005D02019 TR005D02019 Quick edit Valid 2013-06-11 TR005D02019
TR005D02020 TR005D02020 Quick edit Valid 2013-06-11 TR005D02020
TR005D02021 TR005D02021 Quick edit Valid 2013-06-11 TR005D02021
TR005D02022 TR005D02022 Quick edit Valid 2013-06-11 TR005D02022
TR005D02023 TR005D02023 Quick edit Valid 2013-06-11 TR005D02023
TR005D02024 TR005D02024 Quick edit Valid 2013-06-11 TR005D02024
TR005D02025 TR005D02025 Quick edit Valid 2013-06-11 TR005D02025
TR005D02026 TR005D02026 Quick edit Valid 2013-06-11 TR005D02026
TR005D02027 TR005D02027 Quick edit Valid 2013-06-11 TR005D02027
TR005D03 Yildirim Quick edit Valid 2013-06-11 TR005D03
TR005D03028 TR005D03028 Quick edit Valid 2013-06-11 TR005D03028
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?