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
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  • Step 4
  • Step 5
20 Oct 2013
hasDistrict Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Oct 2013
inCountry Vocabulary
Released
  • Step 1
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  • 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
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  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
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  • 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 9,981 to 10,000.First496497498499500501502503Last
Id Label Status Status Modified Notation
PT001D21001 Marvila Quick edit Valid 2013-06-11 PT001D21001
PT001D22 Mercês Quick edit Valid 2013-06-11 PT001D22
PT001D22001 Mercês Quick edit Valid 2013-06-11 PT001D22001
PT001D23 Nossa Senhora de Fátima Quick edit Valid 2013-06-11 PT001D23
PT001D23001 Nossa Senhora de Fátima Quick edit Valid 2013-06-11 PT001D23001
PT001D24 Pena Quick edit Valid 2013-06-11 PT001D24
PT001D24001 Pena Quick edit Valid 2013-06-11 PT001D24001
PT001D25 Penha de França Quick edit Valid 2013-06-11 PT001D25
PT001D25001 Penha de França Quick edit Valid 2013-06-11 PT001D25001
PT001D26 Prazeres Quick edit Valid 2013-06-11 PT001D26
PT001D26001 Prazeres Quick edit Valid 2013-06-11 PT001D26001
PT001D29 Santa Engrácia Quick edit Valid 2013-06-11 PT001D29
PT001D29001 Santa Engrácia Quick edit Valid 2013-06-11 PT001D29001
PT001D30 Santa Isabel Quick edit Valid 2013-06-11 PT001D30
PT001D30001 Santa Isabel Quick edit Valid 2013-06-11 PT001D30001
PT001D32 Santa Maria de Belém Quick edit Valid 2013-06-11 PT001D32
PT001D32001 Santa Maria de Belém Quick edit Valid 2013-06-11 PT001D32001
PT001D33 Santa Maria dos Olivais Quick edit Valid 2013-06-11 PT001D33
PT001D33001 Santa Maria dos Olivais Norte - only for Census data Quick edit Valid 2013-06-11 PT001D33001
PT001D33002 Santa Maria dos Olivais Sul - only for Census data Quick edit Valid 2013-06-11 PT001D33002
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?