DITA solved a fundamental publishing problem: multiple output formats from a single source, especially PDF and Help. DITA’s full potential lies in its ability to support web content delivery. DITA is perfectly suited for dynamically-presented, componentized, web-searchable, socially-enabled, personalized content.
What will DITA ‘publishing’ look like in several years? In this presentation we share the emerging vision for DITA publishing and collaboration that we are hearing from real DITA users:
- Cloud-based tools will enable authoring, collaboration, and reuse to reach beyond technical publications into marketing, support, suppliers, and ultimately customers.
- Centralized DITA repositories will become searchable by internet and enterprise search engines.
- On the web, book-style navigation will be replaced by world-class search applications that provide faceted search, suggest related content, connect users and experts, and integrate search results from multiple sources, all through high-quality metadata.
- Presentation of DITA content in purpose-built knowledge portals will become the primary publishing channel.
- Information developers will evolve into managers of content-centric communities, and will curate more content than they write.
- On-demand, personalized deliverables will be easily assembled by non-technical authors to meet their unique needs.
This presentation includes real-world examples of next generation publishing concepts, and identifies key areas of change for DITA and related standards.
7. DITA for Dynamic Content Delivery
DITA is lean, granular, semantic, and fluid, therefore well suited as a
content delivery format for dynamic information delivery systems:
Portal
8. DITA for Dynamic Content Delivery
DITA is lean, granular, semantic, and fluid, therefore well suited as a
content delivery format for dynamic information delivery systems:
Enterprise
Information
System
9. DITA for Dynamic Content Delivery
DITA is lean, granular, semantic, and fluid, therefore well suited as a
content delivery format for dynamic information delivery systems:
IETM
10. DITA for Dynamic Content Delivery
DITA is lean, granular, semantic, and fluid, therefore well suited as a
content delivery format for dynamic information delivery systems:
Customer
Self-Service
11. DITA for Dynamic Content Delivery
DITA is lean, granular, semantic, and fluid, therefore well suited as a
content delivery format for dynamic information delivery systems:
Dynamically
Assembled
Publications
DITA was developed to address the needs of technical publishingDITA is first and foremost a single-source formatPublishing outputs were the publication formats commonly used for technical documentationDITA Open Toolkit was a “parallel” open source project to address publishing needs, but outside the scope of the specificationSemantics were included in DITA to encourage best practices for information development
To enable Dynamic Delivery of DITA source content, presentation systems and component CMSs will need to represent and exchange metadata about DITA documents that includes but isn’t limited to the following:Collaboration MetadataContent Analytics MetadataClassification Metadata and Knowledge Models
To enable Dynamic Delivery of DITA source content, presentation systems and component CMSs will need to represent and exchange metadata about DITA documents that includes but isn’t limited to the following:Collaboration MetadataContent Analytics MetadataClassification Metadata and Knowledge Models
To enable Dynamic Delivery of DITA source content, presentation systems and component CMSs will need to represent and exchange metadata about DITA documents that includes but isn’t limited to the following:Collaboration MetadataContent Analytics MetadataClassification Metadata and Knowledge Models
To enable Dynamic Delivery of DITA source content, presentation systems and component CMSs will need to represent and exchange metadata about DITA documents that includes but isn’t limited to the following:Collaboration MetadataContent Analytics MetadataClassification Metadata and Knowledge Models
To enable Dynamic Delivery of DITA source content, presentation systems and component CMSs will need to represent and exchange metadata about DITA documents that includes but isn’t limited to the following:Collaboration MetadataContent Analytics MetadataClassification Metadata and Knowledge Models
Collaboration Metadata: Authors, reviewers, SMEs, and end users iteratively develop DITA content using web-based collaboration tools. They make proposed edits and have threaded discussions around these. DITA can be extended to represent annotations and social content, and relate them to DITA source content.
Collaboration Metadata: Authors, reviewers, SMEs, and end users iteratively develop DITA content using web-based collaboration tools. They make proposed edits and have threaded discussions around these. DITA can be extended to represent annotations and social content, and relate them to DITA source content.
Content Analytics Metadata: End users view content in delivery systems and provide ratings (e.g. thumbs up/down). Presentation and analytics systems aggregate these and compile statistics on utility and views. DITA can be extended to represent analytical metadata and relate them to DITA source content.
Classification Metadata and Knowledge Models: Content created in DITA can be delivered in search-based portals, which require granular content with rich metadata. DITA can be positioned as a universal format for delivering semantically rich unstructured content to enterprise IT systems, but needs to reflect accepted standards for representing and interchanging administrative and descriptive metadata, and representing knowledge domains.
Classification Metadata and Knowledge Models: Content created in DITA can be delivered in search-based portals, which require granular content with rich metadata. DITA can be positioned as a universal format for delivering semantically rich unstructured content to enterprise IT systems, but needs to reflect accepted standards for representing and interchanging administrative and descriptive metadata, and representing knowledge domains.