Elements: Root. The Special Topic Map Website Ontology Layer.
XSLT Layers.
The XSLT Layout Layer.
The XSLT Back-End and Presentation Layers.
Querying Topic Types.
Querying and Displaying Topic Names 190
Querying and Displaying Topic Occurrences.
Querying and Displaying Topic Associations.
Summary.
Acknowledgments.
References.
10. Open Source Topic Map Software.
About Open Source Software.
Four Projects.
SemanText, Eric Freese.
Browsing Topic Maps.
Creating and Modifying Topic Maps.
Developing Inference Rules.
Future Plans.
Summary. XTM Programming with TM4J, Kal Ahmed.
The TM4J Core API.
File Organization and Packaging.
Package Dependencies.
Getting Started.
Using the Basic API Features.
Loading a Topic Map.
Creating Implicit Topics.
Saving a Topic Map.
Using the Advanced API Features.
Property Change Listeners.
TMP3—A Sample Topic Map Processing Application.
Defining the Topic Map Ontology.
Designing the Application.
Implementing the Application.
Extending the Application.
TM4J Future Directions.
Summary. Nexist Topic Map Testbed, Jack Park.
The Development of Nexist.
The Past.
The Present.
Use Cases.
Design Requirements.
The Persistent XTM Engine.
The Persistent Store.
The XTM Engine.
The User Interface.
The Server User Interface.
The Client User Interface.
Summary.
References. GooseWorks Toolkit, Sam Hunting.
Program Design.
GwTk's Omnivorous Nature.
ISO Compliance.
Use Cases.
Query Language.
Current Tools.
Summary. 11. Topic Map Visualization, Benedicte Le Grand.
Requirements for Topic Map Visualization.
Different Uses for Topic Maps.
Representation Requirements.
Navigation Requirements.
Visualization Techniques.
Current Topic Map Visualizations.
General Visualization Techniques.
Summary.
References. 12. Topic Maps and RDF, Eric Freese.
A Sample Application: The Family Tree.
RDF and Topic Maps.
An Introduction to RDF.
The RDF Data Model.
RDF XML Syntax.
RDF Schema.
The Similarities.
The Differences.
Combining Topic Maps and RDF.
Modeling RDF Using Topic Map Syntax.
Example 1: Markup Schemes.
Example 2: Topic Reification.
Example 3: Associations 301
Example 4: Bag Data Structure.
Example 5: Another Association.
Example 6: Multiple Occurrences.
Example 7: Another Bag Data Structure.
Example 8: RDF.
Example 9: Sorted Data Structures.
Example 10: Aggregation.
Example 11: Relational Data Structures.
Example 12: Dublin Core Metadata.
Summary.
References. 13. Topic Maps and Semantic Networks, Eric Freese.
Semantic Networks: The Basics.
Comparing Topic Maps, RDF, and Semantic Networks.
Building Semantic Networks from Topic Maps.
Published Subject Indicators.
Association Properties.
Type Hierarchies.
Topic Map Schemas.
Harvesting the Knowledge Identified in Markup.
Identifying and Interpreting the Knowledge Found within Documents.
Summary.
References. 14. Topic Map Fundamentals for Knowledge Representation, H. Holger Rath.
A Simple KR Example.
A Quick Review of Concepts for Topic Maps and KR.
Topic Map Templates.
Class Hierarchies.
Superclass-Subclass Relationship as Association.
Class-Instance Relationship as Association.
Association Properties.
Inference Rules.
An Inference Rule Example.
Consistency Contraints.
Constraint Patterns.
Topic Class Example.
Association Class Example.
Constraints and Class Hierarchies.
Summary.
References. 15. Topic Maps in Knowledge Organization, Alexander Sigel.
Suggestions for Reading This Chapter.
The Overlap between KO and TMs.
KO, Knowledge Structures, and TMs.
KOxTM: Impact Directions and Open Questions.
What Is KO?
Some Definitions: What Is and Does KO? To What End KO?
Some Elements of KO Theory: On Problems and Principles.
KO in Practice.
KO as a Use Case for TMs.
KO: A Primary Use Case for TMs.
Knowledge Networks in KM: A Typical KOxTM Use Case.
KO on Topic Map Core Concepts (the "T-A-O" and "I-F-S" of Topic Maps).
The Potential Value of TMs for KO.
Temporary Impediments to TM Adoption: KO Prejudices.
KO Challenges That Recur with TMs.
Examples of KO Issues That Recur with TMs.
Illustrative Examples.
Shorter Examples of Fruitful KO with TMs.
Toward a TM on KO Resources: First Experiences.
A Look into the Future: Toward Innovative TM-Based Information Services.
Summary.
Acknowledgments.
Selected Abbreviations.
References. 16. Prediction: A Profound Paradigm Shift, Kathleen M. Fisher.
Language.
Transmitting the Word.
Lightness of Being.
A Brief History of Knowledge Representation and Education.
The Ephemeral Nature of Many New Ideas.
What the Research Suggests about Knowledge Representation and Learning.
Students Learn from Semantic Networks.
Students' Models Become Increasingly Similar to Instructors' Models.
Constructing Semantic Networks Alters the Ways We Think and Learn.
Semantic Network-Based Courses Teach, Not Just Tell.
Understanding Relations Is Understanding.
A Paradigm Shift: Patterning Speech to Patterning Thought.
Summary.
Acknowledgments.
References. 17. Topic Maps, the Semantic Web, and Education, Jack Park.
What Is the Semantic Web?
How Can Topic Maps Play an Important Role in the Semantic Web?
What's Next?
Education on the Web.
Constructivist Learning Theory.
Principles of Constructivist Learning.
Toward Constructivist Learning Environments.
IBIS.
Topic Maps.
Toward an Implementation.
An Application.
Closing Salvo.
References. Glossary.Appendix A: Tomatoes Topic Map.Appendix B: Topic Map for Chapter 9.Appendix C: XSLT Style Sheet for Chapter 9.Appendix D: Genealogical Topic Map.Index. 0201749602T07022002