5.9. Key Points in Chapter Five
A relationship is âan association among several things, with that association having a particular significance.â
Just identifying the resources involved is not enough because several different relationships can exist among the same resources.
Most relationships between resources can be expressed using a subject-predicate-object model.
(See §5.3, âThe Semantic Perspectiveâ and §5.7.1, âChoice of Implementationâ)
For a computer to understand relational expressions, it needs a computer-processable representation of the relationships among words and meanings that makes every important semantic assumption and property precise and explicit.
Three broad categories of semantic relationships are inclusion, attribution, and possession.
A set of interconnected class inclusion relationships creates a hierarchy called a taxonomy.
Classification is a class inclusion relationship between an instance and a class.
Ordering and inclusion relationships are inherently transitive, enabling inferences about class membership and properties.
Class inclusion relationships form a framework to which other kinds of relationships attach, creating a network of relationships called an ontology.
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