use case summary conversation from telecon

All --

In today's telecon, I gave a rough summary of what I thought were the
underlying use cases, upon which the existing examples stood.  I'm not
an official member of this XG (yet), so can't edit the wiki myself,
but upon Michael's request, here's what I said --

The three cases are roughly --

1. join structured data (SQL) to structured data, from incompatible
    schema, or where data is dirty, poorly normalized, lacking proper
    keys/indices, etc. (this matches Angela's example)

2. join structured data (SQL) to semi-structured (existing RDF)
    (this matches Juan's example)

3. join structured data (SQL) to unstructured (HTML, Word doc, etc.)
    (this matches Michael's example)

All three can be done if the SQL is transformed to RDF (and in the
third, if the unstructured is likewise passed through some triples-
generator like the Virtuoso Sponger).

Thus, each provides motivation for RDB2RDF transformation, and all can
be understood by someone who hasn't yet joined the RDF/SPARQL camp.

This is not *about* selling RDF to the unconverted, but it will still
unavoidably have that effect (which I think is not a bad thing).

Be seeing you,

Ted



--
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| Q: Are you sure?
| | A: Because it reverses the logical flow of conversation.
| | | Q: Why is top posting frowned upon?

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Received on Tuesday, 9 March 2010 18:18:35 UTC