- From: Andrea Perego via GitHub <sysbot+gh@w3.org>
- Date: Sun, 20 Jun 2021 20:41:32 +0000
- To: public-dxwg-wg@w3.org
@jakubklimek , @Robsteranium , thanks for contributing your solutions.
A couple of comments:
1. DCAT suggests using the Data Quality Vocabulary for spatial resolution types other than distance in metres - quoting from [§6.6.5 Property: spatial resolution](https://w3c.github.io/dxwg/dcat/#Property:dataset_spatial_resolution) in DCAT 3 ED:
> The range of this property is a decimal number representing a length in meters. This is intended to provide a summary indication of the spatial resolution of the data as a single number. More complex descriptions of various aspects of spatial precision, accuracy, resolution and other statistics can be provided using the Data Quality Vocabulary [VOCAB-DQV].
GeoDCAT-AP gives an example of how to do this, but still on spatial resolution as distance or equivalent scale - see [§B.6.13 Spatial resolution – Spatial resolution of the dataset](https://semiceu.github.io/GeoDCAT-AP/releases/2.0.0/#spatial-resolution-spatial-resolution-of-the-dataset) in GeoDCAT-AP 2.
Do you think that a similar approach can be applied also to your use cases?
2. About "concept levels", XKOS defines a specific class for this notion (namely, `xkos:ClassificationLevel`) as a suclass of `skos:Collection` - see https://rdf-vocabulary.ddialliance.org/xkos.html#levels . Would the use of `skos:Collection` fit with your approach?
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Received on Monday, 21 June 2021 02:19:39 UTC