Chapter 14. Topic Map Fundamentals for Knowledge Representation
H. Holger Rath
Topic maps offer flexible and powerful techniques for knowledge representation (KR). They define the general concepts and provide—with intention—just the necessary minimum of semantics. But KR requires more semantic to model ontologies, class hierarchies, association properties, inference rules, and constraint-based validation.
This chapter explains why these semantics are needed, gives some examples of applications, and presents an approach to a technical solution. The solution itself will make use of the topic maps paradigm.
KR is already well understood within the field of artificial intelligence (AI) research. Concepts like semantic networks and conceptual graphs ...
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