Jim <jimpil1...@gmail.com> writes:
> I am certainly not an ontology guru but I can confirm that what you describe
> is sort of valid...Ontologies will indeed help you find predicate-argument
> structures of the form subject->predicate->object (i.e "John likes pizza"),
> but in order to do that you have to build the domain-specific ontology first!
> But there is another way to get the same information via deep-parsing. A
> syntactic parser like stanford's or enju will give you back the nodes (tokens)
> and their dependencies (relations). You can shove that into a (directed &
> acyclic) graph structure and you're ready to query/navigate it as you like...
This breaks down somewhat when you definitions get nasty enough. Take
these two examples: the first says in English
A VeggiePizza is a Pizza,
and not a thing which has at least one MeatTopping
and not a thing which has at least one FishTopping
The second says
A VeggiePizza is a Pizza
which only has a topping which is not
meat or rish
Now, any and only individuals that fulfil the first definition also
fulfil the second: or, alternatively, for any set of individuals we can
think of, these two classes always have the same set.
(defclass VegetarianPizza
:equivalent
(owland Pizza
(owlnot
(owlsome hasTopping MeatTopping))
(owlnot
(owlsome hasTopping FishTopping))))
;; different, but equivalent, definition
(defclass VegetarianPizza2
:equivalent
(owland Pizza
(only hasTopping
(owlnot (owlor MeatTopping FishTopping)))))
Most of the time, the practical upshot of this is that you can ask "give
me all the VegetarianPizza's" and you get an answer.
Pizza's are just a standing example, BTW. I don't know if any one has
ever built an e-commerce site with an ontological backend.
Phil
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