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Practical RDF Shelley Powers
Publisher: O'Reilly Media

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. This is what I came up with: ~~~~. Topic Maps have the same advantage over XML, but then goes on to add some that RDF does not share: You know the name of every object. VoID (from "Vocabulary of Interlinked Datasets") is an RDF based schema to describe linked datasets. « flickr, from beta The approach seems eminently practical, with software packages in many languages and good examples of client-side AJAX processing of SPARQL query results. RDF has a simple data model that is easy Yeah, I agree that the resource-centric (or node-centric) view is more practical, and that's the direction we took in Needle, too. With VoID the discovery and usage of linked datasets can be performed both effectively and efficiently. I've been mulling over this alternate way of thinking about RDF, one that is resource-oriented rather than triple-oriented. I like these practical tools for converting existing data into RDF! Today I presented an internal seminar on RDF to the Bodleian Library developers, the first in a series of (hopefully) regular R&D meetings. It's already being used by Richard Cyganiak for maintaining the Semantic Web Dogfood website. The Resource Description Framework (RDF) is a framework for representing information in the Web. SPARQL: RDF data access for Web 2.0.