- From: Stephen Richard via GitHub <sysbot+gh@w3.org>
- Date: Thu, 15 Nov 2018 20:51:25 +0000
- To: public-dxwg-wg@w3.org
reviewing the current draft, I see that this issue is linked to a comment that says ``` The intention of the phrase "informationally equivalent" needs to be clarified, in particular as different serializations may have different expressivity. ``` Looking back over the discussion (and assuming that we accept DataService as a valid resource type for a dcat:Catalog), [Simons comment (above)](https://github.com/w3c/dxwg/issues/411#issuecomment-432851965) starts a good direction I think. There are several relationships between the dataset as a work, and the various ways data providers provide access: 1. information equivalent representations as files, where equivalence here is something like this transformation test: can Representation A be transformed to B, and that result transformed back to A to obtain a representation that functions identically for all applications of representation A. 2. component distribution: a dataset is represented in a set of files partitioned based on spatial, temporal, or thematic extent, e.g. tiles to cover a large geographic region, files containing annual data for a long-term time series, or different wavelength bands for a remote sensing image. 3. derivative distribution: the source dataset is transformed in some documented process to produce other useful representations, e.g. spatial or temporal down sampling, anonymization. 4. end points that provide applications for human users to visualize/browse the data (? perhaps better represented as a related resource instead of a distribution ?) Perhaps these distinctions can be made by using the conformsTo property on the Distribution, with a vocabulary for these different types. -- GitHub Notification of comment by smrgeoinfo Please view or discuss this issue at https://github.com/w3c/dxwg/issues/411#issuecomment-439185528 using your GitHub account
Received on Thursday, 15 November 2018 20:51:27 UTC