Christophe,
As I have posted previously, if you are going to make BigData serve me then
your first focus must be on describing me, my ontology and ontogeny. This is
far beyond enabling me to express a query and experience 80% false positives
and false negatives. (01)
Once you have enabled a semantic model of me then a machine can find any and
all instances in Big Data that are relevant to me. Further, if you give me the
ability to express a time-based interest profile and the ability to state what
data is NOT of interest (so it can be ignored at the source) then your machine
will have done me a big enough service that I will be willing to use it and
even reward you for the service. (02)
This approach has been used for years but is not well known because if you use
a stored program computer it won't scale. (03)
If you use an another kind of technology now almost available then it will work
quickly and cheaply. (04)
Unfortunately for the Ontology Summit the leaders do not want to be bothered
with "hardware" considerations so you will have to hobble along with
hundred-year-old automata.
Onward,
Jack Ring (05)
On Jan 30, 2014, at 12:47 PM, Christoph LANGE wrote: (06)
> Dear all,
>
> after the end of a great session on "making use of ontologies – tools,
> services, techniques", with inspiring input by TillMossakowski,
> ChrisWelty and AlanRector (thanks once more to all speakers!), the
> discussion is really just starting…
>
> Polemically one could argue that real-world services like Watson need
> Big Data (such as common human knowledge), and they need ontologies in
> the sense of some structured way of processing Big Data – but do they
> need (formal) ontology _languages_?
>
> In the more formal world we see that OWL 2 offers much more alternatives
> for modeling knowledge-rich applications than OWL 1, I'm personally not
> aware of plans towards OWL 3, and in the formal world there are also
> translations between OWL and representations such as UML, which may
> appeal better to humans and has complementary tool support – but to what
> extent are these formalisms related to what humans think and know and
> how they use language?
>
> In short: facing the reality of Big Data and the need for increasingly
> intelligent services, (how) can ontology-based tools and techniques help?
>
> Cheers,
>
> Christoph
>
> --
> Christoph Lange, Enterprise Information Systems Department
> Applied Computer Science @ University of Bonn; Fraunhofer IAIS
> http://langec.wordpress.com/about, Skype duke4701
>
> → Semantic Publishing Challenge: Assessing the Quality of Scientific Output
> ESWC, 25–29 May 2014, Crete, Greece. https://tinyurl.com/SPChallenge14
> Abstract submission until 7 March.
>
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