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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