- From: Andrea Perego via GitHub <sysbot+gh@w3.org>
- Date: Thu, 15 Mar 2018 22:14:06 +0000
- To: public-dxwg-wg@w3.org
Following @agbeltran pointer to DISCO in https://github.com/w3c/dxwg/issues/164#issuecomment-373355860 : DISCO includes [in a specific section](http://rdf-vocabulary.ddialliance.org/discovery.html#relationship-to-data-cube-dcat-and-xkos) some considerations about QB according to which it seems they consider a `db:DataSet` related to `dcat:Distribution`. Quoting: > [...] The Discovery Vocabulary contains a property “aggregation” (pointing from a disco data set to a Data Cube dataset) that indicates that a Cube dataset was derived by tabulating a record-level dataset. > > Data Cube provides for the description of the structure of such cubes, but also for the representation of the cube data itself, that is, the observations that make up the cube dataset. This is not the case for the Discovery Vocabulary, which only describes the structure of a dataset, but is not concerned with representing the actual data in it. The actual data is assumed to sit in a data file (e.g., a CSV file, or in a proprietary statistics package file format) that is not represented in RDF. > > The interplay of Data Cube and Disco needs further exploration regarding the relationship of aggregate data, aggregation methods, and the underlying microdata. The goal would be to drill down to the related microdata based on a search resulting in aggregate data. On the one hand aggregate data are often easily available and gives a quick overview. On the other hand microdata enable more detailed analyses. -- GitHub Notification of comment by andrea-perego Please view or discuss this issue at https://github.com/w3c/dxwg/issues/88#issuecomment-373539834 using your GitHub account
Received on Thursday, 15 March 2018 22:14:22 UTC