The ontology standards RDF and OWL have rooted from AI and therefore has a strongly AI favor. Some interesting flexibility of RDF like reification, blur distinction between attributes and relations can be dated back to old semantic net in AI.
You may compare with the UML modeling, which I suppose most of you know.
Even UML supports the Object Constraint Language (OCL).
We can see platforms and paradigms are therefore moving towards one another.
RDF does not have some typical modeling constructs of UML like cardinality, etc. So, OWL adds those in.
Although detailed syntax will not be examined, you should still know how some of those key features may be used with agents and intelligent system integration.
To show ontology examples, probably it is much more convinent to use diagrams, which are widely supported by many tools (or just use UML notations that you are probably familiar with).
A well-known free tool is called Protege. See: http://protege.stanford.edu/
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