SiberLogic, a provider of XML content technology, has announced the DITA Edition of its content management system, SiberSafe--a DITA solution that combines semantic knowledge modeling with a CMS. Using SiberSafe Visual Modeler, knowledge is contributed directly into the semantic model by the subject matter expert. The user interface is optimized for DITA-compliant topics and components, and can be pre-populated with concepts, tasks, and references that support individual specialization requirements. This shields the SME from DITA while ensuring precise content development planning and production. Information can be added to the semantic model as it becomes available during the product development lifecycle. Once the model is complete, draft topics can be automatically generated. The presentation of all facts and relationships is designed to minimize the iterations required between subject matter expert and author/s.
SiberSafe offers Assumptions Management functionality. SiberSafe establishes associations between topics and appropriate parts of the semantic model, and will automatically notify topic owners about any relevant changes in the model. SiberSafe streamlines fundamental processes such as version and workflow control, collaborative authoring and review, translation management, and more. Content can be authored both online and offline using a variety of authoring tools, including ready-made integrations with Blast Radius XMetaL, Arbortext Epic, and Adobe FrameMaker 7.2, and output to a variety of different formats, including IETP/IETM, SCORM, PDF, HTML, and PowerPoint, for delivery on paper, CD-ROM, or online. SiberSafe supports predefined templates for the creation of topics and topic maps that conform to DITA specialization, and enables fragment-level management of topic maps or hierarchical topics.
The semantic modeling of DITA content makes it navigable in new ways. Publication to SiberSafe's semantically-enabled Knowledge Base offers access to online or CD-ROM based DITA content via semantics-driven search and discovery mechanisms such as: Semantics Browser (browse by structural view, functional view, etc.); Semantic Search Queries (drill down on components, SNS codes, etc.); Full text metadata-driven proximity-sensitive keyword search queries; and Interactive Expert System powered by the semantics-based inference engine.