Announcement: Navigational Knowledge Engineering (NKE) and HANNE

Dear Colleagues,
over the last year, we have worked on a methodology called Navigational 
Knowledge Engineering - in short NKE.

We have amounted a good deal of documents, a web demo (HANNE) , source 
code and images, which we publish and link to on this page:
http://aksw.org/Projects/NKE

Summary:
NKE is a light-weight methodology for low-cost knowledge engineering by 
a massive user base. Although structured data is becoming widely 
available, no other methodology – to the best of our knowledge – is 
currently able to scale up and provide light-weight knowledge 
engineering for a massive user base. Using NKE, data providers can 
publish flat data on the Web without extensively engineering structure 
upfront, but rather observe how structure is created on the fly by 
interested users, who navigate the knowledge base and at the same time 
also benefit from using it. The vision of NKE is to produce ontologies 
as a result of users navigating through a system. This way, NKE reduces 
the costs for creating expressive knowledge by disguising it as navigation.

We would also like to steer your attention to the Web Demo [2], the 
Tutorial slides for the Web demo [3] and two mockups[4], which visualize 
how the methodology could be integrated into Wikipedia and Amazon.com .

As we believe that the methodology is quite novel (please tell us in 
case you know something similar), we are still discussing all possible 
applications and implications. In particular, we are searching for 
suggestions, where to integrate and test our methodology next. Please 
feel free to contact us.

Regards,
Sebastian Hellmann, Jens Lehmann, Jörg Unbehauen, Claus Stadler and 
Markus Strohmaier (TU Graz)

Links:
[1] Main Page: http://aksw.org/Projects/NKE
[2] Web demo: http://hanne.aksw.org
[3] Tutorial slides: 
http://svn.aksw.org/papers/2011/WWW_NKE/hanne_tutorial/hanne_tutorial_public.pdf 

[4] Mockups: http://aksw.org/Projects/NKE#Mockups

-- 
Dipl. Inf. Sebastian Hellmann
Department of Computer Science, University of Leipzig
Homepage: http://bis.informatik.uni-leipzig.de/SebastianHellmann
Research Group: http://aksw.org

Received on Tuesday, 14 December 2010 15:51:51 UTC