Practical RDF Shelley Powers
Publisher: O'Reilly Media

So far 8 people have signed up. The strengths of RDF is that people can define their own ways of representing data and knowledge, and thus create arbitrary RDF graph patterns. With RDF in the core of Drupal and RDFa output by default, it's dozens of thousands of websites which will all of a sudden start publishing their data as RDF. Let's look at a longer version of this answer. For special (throwaway) cases with deterministic serialization though, it may be practical. Stéphane Corlosquet, DERI ( organizer); Florian I have to say that this sounds like an interesting theory, and hopefully it will turn out to have practical uses as well. Yertle is fast enough to handle modest documents in many practical situations, but it isn't all that fast. Since RDF resources are typically large and written in technical and long terms, the eye-parsing scenario is not practical, and certainly hampers the whole utility of SPARQL. Furthermore, the choice of supported design patterns is misguided by theoretical assumptions about DL inferencing that are quite often irrelevant for practical purposes. The data model of the Semantic Web is a graph structure consisting of RDF triples. Has anyone split-tested this to see if it really does produce better SEO? I see RDF/XML as an "end format", it makes little sense to transform that (same goes for stuff like SVG I guess).