Semantic knowledge modeling is the development of a set of facts and their relationships that captures and formalizes all essential technical knowledge about a product. Upfront semantic modeling by the subject matter expert efficiently ensures accuracy and completeness in content development, and enables that content to be retrieved and absorbed in new and flexible ways by diverse consumers.
SiberLogic, provider of innovative XML content technology, launched the DITA Edition of its flagship content management system, SiberSafe - the only DITA solution on the market today, claims the company, that combines semantic knowledge modeling with a solid CMS.
Semantic modeling ensures accuracy of DITA topics
Semantic knowledge modeling is ideal for DITA's topic-based approach to content development.
Using a Visual Modeler, knowledge is contributed directly into the semantic model by the subject matter expert, leaving no possibility of factual misinterpretation. The user interface is optimized for DITA-compliant topics and components, and can be pre-populated with concepts, asks, and references that support individual specialization requirements. This shields the SME from the complexities of DITA whilst ensuring precise content development planning and production. Information can be incrementally added to the semantic model as it becomes available during the product development lifecycle, so there is no need to wait until all information is available before starting the modeling process.
Auto-generation of DITA topics shortens timescales
Once the model is complete, draft topics can be automatically generated, greatly expediting the authoring process. The unambiguous presentation of all facts and relationships minimizes the iterations required between subject matter expert and author/s. Time is saved in both authoring and QA, and overall project timescales are dramatically shortened.
Assumptions Management functionality establishes associations between topics and appropriate parts of the semantic model, and will automatically notify topic owners about any relevant changes in the model. This makes it easy to maintain the accuracy of DITA content as changes are made by the engineering team to the underlying technology product.