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Data Dictionary
Edit vocabulary

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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 26,261 to 26,280.First1,3101,3111,3121,3131,3141,3151,3161,317Last
Id Label Status Status Modified Notation
SI3000134 Ajdovska peč Quick edit Valid 2018-01-19 SI3000134
SI3000135 Raja peč Quick edit Valid 2018-01-19 SI3000135
SI3000136 Votla peč Quick edit Valid 2018-01-19 SI3000136
SI3000137 Huda luknja pri Radljah Quick edit Valid 2018-01-19 SI3000137
SI3000138 Pistišekova povšna Quick edit Valid 2018-01-19 SI3000138
SI3000139 Stržene luže Quick edit Valid 2018-01-19 SI3000139
SI3000140 Belški potok Quick edit Valid 2018-01-19 SI3000140
SI3000141 Duplica Quick edit Valid 2018-01-19 SI3000141
SI3000142 Libanja Quick edit Valid 2018-01-19 SI3000142
SI3000143 Čatež Quick edit Valid 2018-01-19 SI3000143
SI3000144 Juršinci Quick edit Valid 2018-01-19 SI3000144
SI3000146 Velenik Quick edit Valid 2018-01-19 SI3000146
SI3000147 Boreci Quick edit Valid 2018-01-19 SI3000147
SI3000148 Dobrava Quick edit Valid 2018-01-19 SI3000148
SI3000149 Obrež Quick edit Valid 2018-01-19 SI3000149
SI3000150 Središče ob Dravi - Hraščica Quick edit Valid 2018-01-19 SI3000150
SI3000151 Kozje stene pri Slivnici Quick edit Valid 2018-01-19 SI3000151
SI3000152 Vodena jama Quick edit Valid 2018-01-19 SI3000152
SI3000153 Vrhek Quick edit Valid 2018-01-19 SI3000153
SI3000154 Bled - Podhom Quick edit Valid 2018-01-19 SI3000154
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?