When thinking about the general direction my (rather slow moving) Semantic Tagging stuff should head into, it became obvious pretty quickly that moving from facet-value-pairs to RDF-like subject-property-object-triples is the direction of choice. Vapourware needs good-sounding names, so let's call it "RDF without the complexity" - and the good news is: it's already there. Danny Ayers pointed to Phil Dawes' work called Tag Triples:
Tagtriples is an attempt to create a structured metadata format and model with similar properties to RDF (e.g. encoding graphs, trivially mergeable/aggregatable), but made much simpler by allowing any symbol to be an identifier - not just URIs. [...]
The Tag Triples project page links to all the details, the Python sources and also to a nifty demo application called JAM*VAT - The structured data aggregator:
With it you can import information from various structured-data formats including xml, rss, atom, rdf and csv, and then browse and query across the aggregated data.
Finally, some interesting examples of JAM*VAT structured queries →
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