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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

36,682 concepts found, displaying 32,281 to 32,300.First1,6111,6121,6131,6141,6151,6161,6171,618Last
Id Label Status Status Modified Notation
78565 Saint-Martin-des-Champs Quick edit Valid 2013-05-30 78565
78567 Saint-Martin-la-Garenne Quick edit Valid 2013-05-30 78567
78569 Sainte-Mesme Quick edit Valid 2013-05-30 78569
78571 Saint-Nom-la-Bretèche Quick edit Valid 2013-05-30 78571
78575 Saint-Rémy-lès-Chevreuse Quick edit Valid 2013-05-30 78575
78576 Saint-Rémy-l'Honoré Quick edit Valid 2013-05-30 78576
78586 Sartrouville Quick edit Valid 2013-05-30 78586
78588 Saulx-Marchais Quick edit Valid 2013-05-30 78588
78590 Senlisse Quick edit Valid 2013-05-30 78590
78591 Septeuil Quick edit Valid 2013-05-30 78591
78597 Soindres Quick edit Valid 2013-05-30 78597
78601 Sonchamp Quick edit Valid 2013-05-30 78601
78605 Tacoignières Quick edit Valid 2013-05-30 78605
78606 Le Tartre-Gaudran Quick edit Valid 2013-05-30 78606
78608 Le Tertre-Saint-Denis Quick edit Valid 2013-05-30 78608
78609 Tessancourt-sur-Aubette Quick edit Valid 2013-05-30 78609
78615 Thiverval-Grignon Quick edit Valid 2013-05-30 78615
78616 Thoiry Quick edit Valid 2013-05-30 78616
78618 Tilly Quick edit Valid 2013-05-30 78618
78620 Toussus-le-Noble Quick edit Valid 2013-05-30 78620
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?