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
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  • 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 11,961 to 11,980.First595596597598599600601602Last
Id Label Status Status Modified Notation
TR016D02013 TR016D02013 Quick edit Valid 2013-06-11 TR016D02013
TR016D02014 TR016D02014 Quick edit Valid 2013-06-11 TR016D02014
TR016D02015 TR016D02015 Quick edit Valid 2013-06-11 TR016D02015
TR016D02016 TR016D02016 Quick edit Valid 2013-06-11 TR016D02016
TR016D02017 TR016D02017 Quick edit Valid 2013-06-11 TR016D02017
TR016D02018 TR016D02018 Quick edit Valid 2013-06-11 TR016D02018
TR016D02019 TR016D02019 Quick edit Valid 2013-06-11 TR016D02019
TR016D02020 TR016D02020 Quick edit Valid 2013-06-11 TR016D02020
TR016D02021 TR016D02021 Quick edit Valid 2013-06-11 TR016D02021
TR016D02022 TR016D02022 Quick edit Valid 2013-06-11 TR016D02022
TR016D02023 TR016D02023 Quick edit Valid 2013-06-11 TR016D02023
TR016D02024 TR016D02024 Quick edit Valid 2013-06-11 TR016D02024
TR016F Kayseri Quick edit Valid 2022-10-18 TR016F
TR016L1 Kayseri Quick edit Valid 2013-06-11 TR016L1
TR017C1 Kocaeli Quick edit Valid 2013-06-11 TR017C1
TR017D01 Bekirpasa Quick edit Valid 2013-06-11 TR017D01
TR017D01001 TR017D01001 Quick edit Valid 2013-06-11 TR017D01001
TR017D01002 TR017D01002 Quick edit Valid 2013-06-11 TR017D01002
TR017D01003 TR017D01003 Quick edit Valid 2013-06-11 TR017D01003
TR017D01004 TR017D01004 Quick edit Valid 2013-06-11 TR017D01004
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?