Mass processing of alignments
It is possible to massively edit the alignments, the notes and the ark identifiers of the concepts of a thesaurus. These interventions are done from the ‘Toolbox’ > ‘Thesaurus workshop’ page.
Importing alignments
To import, you have to structure the CSV file like this:
When the CSV file is done, you have to import it and define the identifier type and the CSV delimitor file:
⚠ If the identifiers does not exist, the alignment will be rejected. If the concept already has the same alignment, the link will not be change.
‘How can I choose the aligment type?’ You have to add (##) and the type code of alignment next to the URL:
- 1 = exactMatch
- 2 = closeMatch
- 3 = broadMatch
- 4 = relatedMatch
- 5 = narrowMatch
Example: https://www.wikidata.org/wiki/Q65955##1 for an exactMatch.
⚠ If there are any informations about the alignment type, the exactMatch relation will be apply by default.
Delete alignments
To massively delete alignments, you have to structure the CSV file like this:
When the CSV file is done, you have to import it and define the identifier type and the CSV delimitor file:
⚠ If the identifiers does not exist, the alignment will be ignored. If the concept already has the alignment, its will be deleted.
Importing notes
It is possible to import all the types of normalize notes (note, scopeNope, historyNote etc), the CSV file must be structured like this:
When the CSV file is done, you have to import it and define the identifier type and the CSV delimitor type:
⚠ If the identifiers does not exist, the note will be rejected. Of the note already exists, there will be no change except the “empty everything before” option is activated. There are two options:
- keep the existing values and allow the addition of non-existent notes.
- delete the notes before, which allows to empty all the notes of the identifier entered in the table before importing the new notes.
Like the alignment import, (##) id to combine multiple values.
Importing ark identifiers
The CSV file must be structured like this:
OpenEdition vous propose de citer ce billet de la manière suivante :
Alyssa Turgis (13 avril 2022). Mass processing of alignments. Opentheso. Consulté le 10 décembre 2024 à l’adresse https://doi.org/10.58079/sjk8
