Title: Using Topic Maps
1Using Topic Maps
- To take the Byte out of Learning
Bain McKay, Chief Scientist CIRI Lab
ActiveIntranet plc
2Topic Maps Component Usage
Groves
Components define Knowledge
Usage defines Value
3Topic Maps Component Usage
Usage
Aggregation Profiles
Scope Boundaries
Filters Dimensional Pivots
4Topic Maps Aggregate Types
User Profiles
Knowledge
Interest
Collaboration
5Topic Maps Aggregate Types
Behavior Maps
Reflect Usage Behavior
6Topic Maps Integration
Integration
Structured
Unstructured
7Topic Maps Review
Review
Common Content Usage
Profiles
Integration
8Topic Maps Learning Productivity
Learning Productivity
Organized for personal learning
Decision Support Ready
Multiple Views Deeper Learning
9Topic Maps Incremental Learning
How We Learn
Frontal Lobe Limits 7/-2
Knowledge Bus Chunks to the back
Multiple Views Deeper Learning
Topic Mass Lattice Network
10Topic Maps Knowledge Instantiation
Simplification
Contextualization
Complexity
Knowledge Instantiation
11Topic Maps Incremental Learning
Incremental Learning builds incremental context
New insights at each step
Contextualization
New directions from hidden order
Incremental Learning
Building Context One Step At A Time
12Topic Maps Incremental Learning
Incremental Learning builds incremental context
ReeContextualization
New insights at each step
New directions come from hidden order
Incremental Learning
Facets Scope, Attribution (Dimensional Filters)
13Topic Maps Containment Search
Bring back highly relevant results
Discover
Search
Mapped to Problem Context
InfoGlut
ReeContextualization
Learn
And to Personal Profile
Frustration
Motivation
Incremental Learning
Facets Scope, Attribution (Dimensional Filters)
14Topic Maps Containment Search
Bring back highly relevant results
Discover
Search
Mapped to Problem Context
InfoGlut
ReeContextualization
Learn
And to Personal Profile
Sweet Spot
Organized for Personal Learning
Frustration
Motivation
Incremental Learning
Organized For Decision Support
Facets Scope, Attribution (Dimensional Filters)
15Topic Maps Working For You
Incremental Learning builds incremental context
Discover
Search
InfoGlut
ReeContextualization
New insights at each step
Learn
New directions come from hidden order
Frustration
Motivation
Incremental Learning
Facets Scope, Attribution (Dimensional Filters)
16Topic Maps Working for you
Discovery Context
Problem Context
Discovery
User Profile
Expert Profile
Containment Search
Sweet Spot
Intelligent Search Agent
Results Profile
Multiple Perspectives Deeper Learning
Semantic Convergence
TM
Fill The Sweet Spot
Incrementally Build Targeted Context
17Topic Maps Working for you
Semantic Routing
Fit Interest
Discovery
Fit Knowledge
Fit Collaboration
Profile
Containment Search
Profile
Message Escalation
Profile
High Workflow
Medium Pager
TM
Low Email
Incrementally Build Targeted Context
18Topic Maps Working for you
Induction Wrappers
Documents
Web Pages
Interpret
Images
Voice
Video
TM
19Topic Maps Working for you
IntelligentKnowledge Server
Mass scalability
Real-time Response
Fractal Index
Analogue Dimensions
Semantic Proximity
High Dimensionality
Self-Organizing/Simplifying
Managing Topic Maps
Self-Describing
Active-Reflexive
20Topic Maps Working for you
Leveraging Topic Maps
Common Context Integration
Search Containment
Organized For Personal Learning
Auto-Profiling
Auto-Routing
Message Escallation
Knowledge Inferencing
Learning Emulation
Other