When arrive: Ask about books and lunch Also ask about certificates and evaluations Turn off Skype Present Daily Schedule: 9-4 with a long break for lunch and two shorter breaks – one in morning, one in afternoon – mention lunch
Instead of creating deliverables, we create discrete topics of information
Standards being adopted: DITA, S1000D, SCORM
Topic-Based Content Using DITA
Topics
Each topic answers a single question
Only enough information to understand one concept, perform one procedure or provide one set of reference information
Maps
Assemble topics into deliverables using Maps
Define relationships between topics in relationship tables
Advantages of Using DITA
More efficient authoring
Reuse content in multiple deliverables
Easier to maintain content
Topic architecture and semantic tags promotes minimalization
Easier to customize deliverables: multi-purpose Conditional attributes for product, platform, audience, and user defined conditions
Multi-channel, single source, automated publishing
Challenges of Technical Writers
Overall pressure to increase efficiency and reduce redundancy
Topic-based content requires a paradigm shift from deliverable-based content
Instead of managing deliverables, need to manage discrete topics – may be thousands
Need better methodologies to plan, create, classify, manage, localize, publish, deliver and find content
TWs are becoming information architects…
Modular Documentation
Who is this Guy
Challenges for TechDoc Groups
Information Architecture
Revising Processes
What is Information Architecture?
The science (art?) of expressing a model or concept for information
Used for activities that require expressions of complex systems
Consists of:
Structural design of shared information environments
Method of organizing and labeling information From Wikipedia
What is IA for Documentation?
Method for organizing documentation and training resources – text, media – into an overarching knowledge model
The knowledge model is created and maintained separate from the actual content – like creating a global index
“ Allows us to provide access to the information based on the model of the knowledge it contains” Steve Newcombe
Simple level: Organization of content by hierarchy, relationships
Next level: Organization of subjects , and relating content to those subjects
What is an Ontology?
Terms used to describe and represent an area of knowledge – subject matter
Model for the meaning of those terms
Vocabulary and the meaning of that vocabulary
For us, that means standardized index, glossary, conditional tags/conditional attribute values
Used by people, databases and applications to navigate, identify and share information in a specific domain (specific area of knowledge) For us, that means better planning and content reuse on the authoring side and better delivery on the production side
- Dr. Leo Obrst, MITRE Information Semantics Group
Introducing: Topic Maps
Semantic knowledge model to express an ontology
ISO standard; can also be expressed as XML
Topic
Represents a subject or concept
Categorized by Type
Map
Associations: relationships between topics
Occurrences: link between information resources and the subjects that they express something about
Information Model Based on Topic Maps “ Subject Classification with DITA and SKOS,” Hennum, Anderson and Bird, October 2005
How can Topic Maps Help?
Standardize subject matter, index and glossary
Determine valid usage of metadata and applicability / effectivity values (DITA conditional attributes)
Associative topic navigation, not just hierarchical
Results in better planning and content reuse while authoring; robust filtering and navigation in our deliverables
Modular Documentation
Who is this Guy
Challenges for TechDoc Groups
Information Architecture
Revising Processes
Traditional Method for Developing Content
Deliverable-based:
Determine deliverables needed for product
Create an outline of topics needed
Locate and reuse existing content; write everything else from scratch
Using topic-oriented architecture:
Create outline using map
Link to existing topics; create space-holder topics for new content
Maintain Master Topic List
Alternative Method using Information Architecture
Solution Oriented Topic Architecture
Create a knowledge model of subjects encompassing:
All products, features, system components
All product life-cycle stages
From that model, compile lists of content to be created to express the knowledge model
Compile content to form maps representing documentation deliverables
DITA Maps
SCORM Manifests
Define Subjects and Types Example
List Products and Solutions your company offers
For each Product:
List System Components
List Features
List Tasks
List Life Cycle Stages
For each Task:
List Interfaces and Screens
User Roles
Define Relationship Types
Define relationships between subjects
Product System Component
Product Platform Supported
Product Feature
Feature Task
Task Interface
Task Life Cycle
Task User Role
System Component Assembly
List Relationships
For each Product:
Associate with Platforms Supported
Associate with Features
For each Feature:
Associate with Platforms Supported
Associate with Tasks
For each Task:
Associate with Interfaces and Screens
Associate with Life Cycle Stage
Associate with User Roles
Define Subjects and Types
Design Sell: Demos, Positioning, Related Products, Related Services, Implement: Initialize, Install, Configuration, Training Use: End Use, Administer Maintain: Troubleshoot, Optimize, Service, Maintenance
Designing, building and maintaining a coherent cont more
Designing, building and maintaining a coherent content model is critical to proper planning, creation, management and delivery of documentation and training content. This is especially true when implementing a modular or topic-based XML standard such as DITA, SCORM and S1000D, and is essential for successfully facilitating content reuse, multi-purpose conditional publishing and user-driven content. During this presentation we will review basic concepts and methods for implementing information architecture. We will then introduce an innovative, comprehensive methodology for information modeling and content development that employs recognized XML standards for representation and interchange of knowledge, such as Topic Maps and SKOS. In this way, semantic technologies designed for taxonomy and ontology development can be brought to bear for creating and managing technical documentation and training content, and ultimately impacting the usability and findability of technical information. less
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