Topic maps provide a powerful paradigm for defining intelligent link networks over continually growing information pools. Real-world topic maps consist of a large number of objects that require validation to assure the quality of the map. The following concepts help with quality assurance or make implicitly coded knowledge explicit.
Topic map templates define the ontology of the application domain.
Class hierarchies express the superclass–subclass relationships.
Association properties assign transitivity to binary associations.
Inference rules declare how to derive implicit knowledge.
Constraints are the validation rules.
The sum of these concepts describes the topic map schema.
As discussed in this chapter, the topic map schema can be modeled ...