Numerous real-world problems require the ability to handle
both deterministic and uncertain knowledge. Due to differ-
ences in epistemological commitments made by their par-
ticular AI communities, researchers have mostly been con-
cerned with either one of these two types of knowledge. On
the one hand, the representation of purely logical knowledge
has been the focus of knowledge representation and reason-
ing, including coherence and consistency. On the other hand,
reasoning about knowledge in the presence of uncertainty
has been the major research theme of the machine learning
and uncertainty in AI communities.

As part of my doctoral studies I want to combine both,
deterministic and uncertain knowledge with focus on appli-
cations in the Semantic Web community. The focus of my
work constitute the development of new efficient algorithms
and their application on ontology reasoning and ontology
matching.