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With the aim to improve the browsing of the many papers, I think the classifications of the papers should include a dimension relative to the application area of the paper, not just the programming language used.
Then one can choose an open classification (tags) or a predefined hierarchical classification (there are many)..
The text was updated successfully, but these errors were encountered:
arfon
transferred this issue from openjournals/openjournals.github.io
Feb 11, 2020
I'd recommend to use two knowledge organization systems:
1, a broad, generic classification for browsing (such as
2. a more specific controlled vocabulary for linking software with similar fields
For the second I recommend to use Wikidata. For the first there are several classifications and all are opiniated. Just stick to one of them. Candidates:
Why not use Wikidata only? Because the articles will get fragmented and there is no clean, stable hierarchy. In terms of information retrieval: better recall.
Why not use only a broad classification? Because every classification is too broad in specific areas. In terms of information retrieval: better precision.
With the aim to improve the browsing of the many papers, I think the classifications of the papers should include a dimension relative to the application area of the paper, not just the programming language used.
Then one can choose an open classification (tags) or a predefined hierarchical classification (there are many)..
The text was updated successfully, but these errors were encountered: