- From: Jeni Tennison <jeni@jenitennison.com>
- Date: Wed, 22 Apr 2015 13:37:54 +0100
- To: Bob DuCharme <bducharme@topquadrant.com>, public-csv-wg@w3.org
Hi Bob, Thanks for the comment. We do support this through the use of “virtual columns”. Please see the example at: http://www.w3.org/TR/csv2rdf/#example-events-listing which illustrates how virtual columns can be used to provide classes for the subjects of information within a row of tabular data, even when that row actually contains information about multiple subjects. Does this satisfy your requirement? Jeni -- Jeni Tennison http://www.jenitennison.com/ On 21 April 2015 at 16:56:26, Bob DuCharme (bducharme@topquadrant.com) wrote: > After some internal discussion at TopQuadrant between Irene Polikoff, > Holger Knublauch, Richard Cyganiak and myself, we have only have > suggestion. The rows of a tabular dataset typically describe instances of a > common class, so we think it would make sense for the the schema section of > the "Metadata Vocabulary" document ( > http://www.w3.org/TR/tabular-metadata/#dfn-schema) to include a way to > identify that class--for example, to say that the rows of example 2 in > "Generating RDF from Tabular Data on the Web" are instances of foaf:Person, > that the rows in example 5 are instances of schema:Country, that the rows > of example 28 of "Metadata Vocabulary for Tabular Data" are instances of > xyz:Employee, etc. > > The output shown in Example 3 of "Generating RDF from Tabular Data on the > Web" would then include something like "a schema:Person" along with the > _col=1, _col=2, etc. values. > > Thanks, > > Bob DuCharme > TopQuadrant >
Received on Wednesday, 22 April 2015 12:38:20 UTC