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 11,181 to 11,200.First556557558559560561562563Last
Id Label Status Status Modified Notation
TR001D03049 TR001D03049 Quick edit Valid 2013-06-11 TR001D03049
TR001D03050 TR001D03050 Quick edit Valid 2013-06-11 TR001D03050
TR001D03051 TR001D03051 Quick edit Valid 2013-06-11 TR001D03051
TR001D03052 TR001D03052 Quick edit Valid 2013-06-11 TR001D03052
TR001D03053 TR001D03053 Quick edit Valid 2013-06-11 TR001D03053
TR001D03054 TR001D03054 Quick edit Valid 2013-06-11 TR001D03054
TR001D04 Gölbasi Quick edit Valid 2013-06-11 TR001D04
TR001D04055 TR001D04055 Quick edit Valid 2013-06-11 TR001D04055
TR001D05 KeCiören Quick edit Valid 2013-06-11 TR001D05
TR001D05056 TR001D05056 Quick edit Valid 2013-06-11 TR001D05056
TR001D05057 TR001D05057 Quick edit Valid 2013-06-11 TR001D05057
TR001D05058 TR001D05058 Quick edit Valid 2013-06-11 TR001D05058
TR001D05059 TR001D05059 Quick edit Valid 2013-06-11 TR001D05059
TR001D05060 TR001D05060 Quick edit Valid 2013-06-11 TR001D05060
TR001D05061 TR001D05061 Quick edit Valid 2013-06-11 TR001D05061
TR001D05062 TR001D05062 Quick edit Valid 2013-06-11 TR001D05062
TR001D05063 TR001D05063 Quick edit Valid 2013-06-11 TR001D05063
TR001D05064 TR001D05064 Quick edit Valid 2013-06-11 TR001D05064
TR001D05065 TR001D05065 Quick edit Valid 2013-06-11 TR001D05065
TR001D05066 TR001D05066 Quick edit Valid 2013-06-11 TR001D05066
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?