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Practical RDF Shelley Powers
Publisher: O'Reilly Media

Number of RDF triples can easily grow into mil- lions or even billions for real-world applications, making it difficult to process efficiently with tradi- tional means. To better understand literals, one can make an analogy between the RDF model and the object-oriented (OO) model. I like these practical tools for converting existing data into RDF! Also, many people may be disappointed to learn that their college courses in philosophy might turn out to be of practical use. While RDF is the most viable CRM representation, there are various low-level RDF issues that are not standardized. The project was launched with a wholly practical approach to publishing data – about vending machines, catering halls, and other points of service – in RDF format by that school's web manager, Christopher Gutteridge. Small wonder there is scarcely any deployment of practical RDF applications. The board will not have through hole plating, so I want to minimise soldering amongst the components. The mashup examples use all of these, and they are very practical projects. Literals are usually abstract values and describing them in most cases is not necessary nor practical. A more practical approach is to store larger ontologies in a database-backed RDF store (referred to here as an RDF database for brevity), and then query the model much as you would a database. I'm now designing a more complex double-sided board and have come up against a practical problem. It's already being used by Richard Cyganiak for maintaining the Semantic Web Dogfood website.