In our example, we're reproducing the licensing survey, so we'll choose the string " how-o-is-lod" to create data/source/us/how-o-is-lod. Since defines our cr:dataset, we need to choose an identifier for it. dataset identifier - this is a short string that the source organization uses to name the set of data that they provide.For the lodcloud project "us" is the source identifier that we use to name ourselves. Since defines our cr:dataset, we are the source organization. source identifier - this is a short string that names the agent person/organization that provided the dataset.Setting it up - namingĬsv2rdf4lod requires the following aspects, in that order: Like df:dataset, it is the multi-element dimension of the evaluation service that provides metadata about each of the elements in the df:dataset dimension.Ĭr:dataset is analogous to the fixed specification of df:dataset and df:faqt. Using df: and cr: to distinguish terminology scope, the df:epoch aspect is analogous to cr:version, since each time the FAqT Brick is run we have a new subset of data.ĭf:dataset is NOT like cr:dataset, since df:dataset is a multi-element dimension in DataFAQS while cr:dataset is just the name of the bucket of data that is being gathered (this is the distinction between metadata and data DataFAQs does the former and csv2rdf4lod does the latter).ĭf:faqt does not have an analog in csv2rdf4lod. Practically, the cube is decomposed into three hierarchies on the file system. Conceptually, they are also not strictly hierarchical like csv2rdf4lod is.
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