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
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 4,861 to 4,880.First240241242243244245246247Last
Id Label Status Status Modified Notation
76064 Feldfebel Denkovo Quick edit Valid 2013-05-30 76064
76073 Filaretovo Quick edit Valid 2013-05-30 76073
76087 Varbitsa Quick edit Valid 2013-05-30 76087
76090 Filipovo Quick edit Valid 2013-05-30 76090
76100 Filipovo Quick edit Valid 2013-05-30 76100
76114 Filipovtsi Quick edit Valid 2013-05-30 76114
76145 Florentin Quick edit Valid 2013-05-30 76145
76159 Fotinovo Quick edit Valid 2013-05-30 76159
76162 Fotinovo Quick edit Valid 2013-05-30 76162
76180 Frolosh Quick edit Valid 2013-05-30 76180
76193 Furen Quick edit Valid 2013-05-30 76193
76203 Fargovo Quick edit Valid 2013-05-30 76203
76217 Fargovtsi Quick edit Valid 2013-05-30 76217
76220 Farevtsi Quick edit Valid 2013-05-30 76220
76234 Fartuni Quick edit Valid 2013-05-30 76234
77013 Hadzhidimitrovo Quick edit Valid 2013-05-30 77013
77027 Hadzhidimitrovo Quick edit Valid 2013-05-30 77027
77030 Hadzhidimitrovo Quick edit Valid 2013-05-30 77030
77044 Hadzhi Dimitar Quick edit Valid 2013-05-30 77044
77058 Hadzhidimovo Quick edit Valid 2013-05-30 77058
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?