XML and Ontology

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Ontology is becoming a pressing concern as organizations move more of their knowledge base—white papers, e-mails, documentation, presentations, and non-textual media such as images and digitized video—into XML content management systems. The available automation tools for working with such media tend to concentrate on presentation more than semantics or meaning. Consequently, as this base of tools becomes larger and more complex, the advantages of working with XML get lost in all of the mismatched schemas.

By employing a consistent language for dealing with ontology, XML developers are better able to capture the linguistic semantics—the true meaning—of content. In turn, this makes it possible to build a richer layer of meta-content that provides a more abstract (and hence more workable) view of the knowledge in that organization. This is one of the goals of Tim Berners-Lee's Semantic Web—building a web of knowledge that machines can understand semantically just as well as people. As a symbol, the W3C could have chosen far worse than the wise-old OWL.

Last update: 4/6/2003; 4:37:35 PM.