Would you say that ontologies can be modeled on top of graphs? so in a way
they can be seen as a specific use case for graphs? (maybe directed acyclic
graphs), that's what I am getting the sense of so far



On Wed, May 22, 2013 at 4:47 PM, atkaaz <atk...@gmail.com> wrote:

> Thank you very much for this! I find it very interesting, I shall keep
> reading
>
>
> On Wed, May 22, 2013 at 4:24 PM, Phillip Lord <
> phillip.l...@newcastle.ac.uk> wrote:
>
>>
>>
>> It's a good question; the library is more intended for people who know
>> ontologies and don't care, or have never heard about, clojure. So the
>> documentation is biased in that way.
>>
>> In this setting, an ontology is essentially a set of facts, that you can
>> test with a computational reasoner; so, it's something like logic
>> programming. I don't implement the reasoner -- someone else has done
>> that (in fact there are several). These reasoners can scale up to
>> 100'000s of terms.
>>
>> My example Pizza ontology shows it in use.
>>
>> https://github.com/phillord/tawny-pizza
>>
>> So, you can make statements like
>>
>> (defclass CheesyPizza
>>   :equivalent
>>   (owland Pizza
>>            (owlsome hasTopping CheeseTopping)))
>>
>> and
>>
>> (defclass MozzarellaTopping
>>    :subclass CheeseTopping)
>>
>> and finally,
>>
>> (defclass MargheritaPizza
>>    :subclass
>>      (someonly hasTopping CheeseTopping TomatoTopping))
>>
>> and the reasoner will work out that MargheritaPizza is a CheesyPizza.
>>
>> In itself, this is simple, but you can build up more complex classes
>> like so.
>>
>> (defclass VegetarianPizza
>>   :equivalent
>>   (owland Pizza
>>           (owlnot
>>            (owlsome hasTopping MeatTopping))
>>           (owlnot
>>            (owlsome hasTopping FishTopping))))
>>
>> (defclass NonVegetarianPizza
>>   :equivalent
>>   (owland Pizza (owlnot VegetarianPizza)))
>>
>> Of course, really takes flight when you have large ontologies. FMA which
>> models human anatomy, has I think, about 100,000 terms. SNOMED (ways you
>> can get ill) has millions.
>>
>> Now there are lots of tools for building these; the novelty with tawny
>> is that the "raw" syntax is relatively simple (most of tawny-pizza does
>> not look like a programming language), but it is entirely programmatic;
>> so, it is possible to automate, build patterns, and integrate with
>> external infrastructure all in one place. I think that this is going to
>> be very useful, but we shall see!
>>
>> While I am interested in biomedical and scientific ontologies, there are
>> lots of other applications. Probably the most famous one at the moment
>> is Siri (the iphone thingy) which is ontological powered underneath.
>>
>> There are quite a few articles, varying in scope on ontologies on
>> ontogenesis http://ontogenesis.knowledgeblog.org.
>>
>> It is a very valid point, though. I should write some documentation on
>> ontologies for programmers. I shall work on it!
>>
>> Phil
>>
>>
>> atkaaz <atk...@gmail.com> writes:
>>
>> > For those who don't know the concepts (aka me) can we get a working
>> example
>> > of what can be done ? I'm having a strange feeling that
>> ontologies(although
>> > I've never heard the word/idea before except from you) might be
>> something
>> > similar to what I am searching for...
>> >
>> > Possibly an example that showcases everything that can be done ? though
>> > that might be too much to ask, or perhaps suggest a link url to
>> something
>> > that might help (me) understand ?
>> >
>> > Thanks.
>> >
>> >
>> > On Wed, May 22, 2013 at 2:41 PM, Phillip Lord
>> > <phillip.l...@newcastle.ac.uk>wrote:
>> >
>> >>
>> >> I'm pleased to announce the release of tawny-owl 0.11.
>> >>
>> >> What is it?
>> >> ==========
>> >>
>> >> This package allows users to construct OWL ontologies in a fully
>> >> programmatic
>> >> environment, namely Clojure. This means the user can take advantage of
>> >> programmatic language to automate and abstract the ontology over the
>> >> development process; also, rather than requiring the creation of
>> ontology
>> >> specific development environments, a normal programming IDE can be
>> used;
>> >> finally, a human readable text format means that we can integrate with
>> the
>> >> standard tooling for versioning and distributed development.
>> >>
>> >> Changes
>> >> =======
>> >>
>> >> # 0.11
>> >>
>> >> ## New features
>> >>
>> >> - facts on individual are now supported
>> >> - documentation has been greatly extended
>> >> - OWL API 3.4.4
>> >>
>> >>
>> >> A new paper on the motivation and use cases for tawny-owl is also
>> >> available at http://www.russet.org.uk/blog/2366
>> >>
>> >> https://github.com/phillord/tawny-owl
>> >>
>> >> Feedback welcome!
>> >>
>> >> --
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>> >
>> > --
>>
>> --
>> Phillip Lord,                           Phone: +44 (0) 191 222 7827
>> Lecturer in Bioinformatics,             Email:
>> phillip.l...@newcastle.ac.uk
>> School of Computing Science,
>> http://homepages.cs.ncl.ac.uk/phillip.lord
>> Room 914 Claremont Tower,               skype: russet_apples
>> Newcastle University,                   twitter: phillord
>> NE1 7RU
>>
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