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KMi Seminars
Using the Dempster-Shafer theory of evidence to resolve ABox inconsistencies
This event took place on Wednesday 07 November 2007 at 11:30

 
Andriy Nikolov Computing Research Centre, The Open University, UK

Automated ontology population using information extraction algorithms can produce inconsistent knowledge bases. Confidence values assigned by the extraction algorithms may serve as evidence helping to repair produced inconsistencies. Dempster-Shafer theory of evidence is a formalism, which allows appropriate interpretation of extractors’
confidence values. The talk presents an algorithm for translating the subontologies containing conflicts into belief propagation networks and repairing conflicts based on Dempster-Shafer plausibility.

 
KMi Seminars Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

New Media Systems is...


Our New Media Systems research theme aims to show how new media devices, standards, architectures and concepts can change the nature of learning.

Our work involves the development of short life-cycle working prototypes of innovative technologies or concepts that we believe will influence the future of open learning within a 3-5 year timescale. Each new media concept is built into a working prototype of how the innovation may change a target community. The working prototypes are all available (in some form) from this website.

Our prototypes themselves are not designed solely for traditional Open Learning, but include a remit to show how that innovation can and will change learning at all levels and in all forms; in education, at work and play.