Dear all, (01)
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… (02)
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_? (03)
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? (04)
In short: facing the reality of Big Data and the need for increasingly
intelligent services, (how) can ontology-based tools and techniques help? (05)
Cheers, (06)
Christoph (07)
--
Christoph Lange, Enterprise Information Systems Department
Applied Computer Science @ University of Bonn; Fraunhofer IAIS
http://langec.wordpress.com/about, Skype duke4701 (08)
→ 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. (09)
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