An argument is presented for replacing the traditional published scientific technical or medical article, where heavy reliance is placed on human perception of a printed or a printable medium, by a more data-centric model with well-defined structures expressed using XML languages. Such articles can be regarded as self-defining or 'intelligent': they can be scaled down to fine-level details such as, for example, atoms in molecules, up into journals or higher-order collections, and can be used by software agents as well as humans. Our vision is that this higher-order concept, often referred to as the semantic web, would lay the foundation for the creation of an open and global knowledge base.
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