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Dataset granularities: Abstract vs. Versioned vs. Layer
timrdf edited this page Mar 14, 2013
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When csv2rdf4lod converts tabular data to RDF, it also asserts metadata about the RDF using the conversion vocabulary. In addition to grouping the triples that it produces into a void:Dataset, it organizes them according to three specific types of void:Dataset:
- conversion:AbstractDataset (subclass of void:Dataset)
- conversion:VersionedDataset (subclass of void:Dataset)
- conversion:LayerDataset (subclass of void:Dataset)
As described in [the naming phase](Conversion process phase: name), three provenance-related aspects are used to organize any third party data that are retrieved. Each aspect is given a short, URI-friendly identifier string:
- source identifier
- dataset identifier
- version identifier