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Practical RDF Shelley Powers
Publisher: O'Reilly Media

Furthermore, the choice of supported design patterns is misguided by theoretical assumptions about DL inferencing that are quite often irrelevant for practical purposes. However, is that really the most compelling need that end users have? People often say that if you don't like the weather in Newfoundland, just wait 5 minutes…it's likely to change. Let's look at a longer version of this answer. The strengths of RDF is that people can define their own ways of representing data and knowledge, and thus create arbitrary RDF graph patterns. In fact, I often advise people to search for Linked Data rather than Semantic Web as the usefulness of the results in a practical context is vast. If you come prepared, a little bit of rain or wind won't stop the fun. A couple of years ago, I started reading Shelley Powers' book, “Practical RDF” [1]. (The feed is not currently syndicated by Planet RDF, so if you read my blog via Planet RDF and are interested in enterprise semantics, you should probably still sign up separately.) Here's just a taste of some of the content we've published in the first two months of After all, with lots of computing power and better database storage techniques it is now practical to analyze petabytes of data. The arguments presented are for both the engineer working with small organizations encumbered by reality, and the RDF purist encumbered by a vision. The data model of the Semantic Web is a graph structure consisting of RDF triples. Michael Hunger however informed me that the neo-rdf-sail component is no longer under Through Datablend, Davy aims at sharing his practical experience within a broader IT environment. So, while we wait for the semantic web to evolve, what is RDF good for today? I couldn't find any good tutorial with practical examples.What I want to do is save some articles as RDF document in database with ARC and then run SPARQL on them.