Subject classification with DITA and SKOS - 4 views
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In a topic-oriented architecture such as DITA, content is authored in small, independent units that are assembled to provide help systems, books, courses, and other deliverables. Each unit of information answers a single question for a specific purpose. That is, each topic has specific, independent subject matter
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Because each topic has a specific meaning, DITA topics are tailor-made for semantic processing. However, current semantic processors can't read the text of a topic to find out what it means. What's missing is a formal declaration of the topic's subject matter that a semantic processor can understand
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Simple Knowledge Organization System (SKOS) provides a standard for indicating the subject matter of content. SKOS lets you define the subjects for a particular subject matter area (organizing these subjects as a taxonomy if desired) and then classify each piece of content to indicate its subject. For instance, using SKOS, you could define configuration and security as subjects, and classify the three example topics that relate to those subjects so that users could browse the subjects to find the content regardless of whether the words "configuration" or "security" actually appear in the text.
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