Special Session Title: 
Vagueness, Imprecision and Uncertainty in Description Logics.

Overview:

Description Logics (DLs) are a well-established group of knowledge
representation formalisms targeted towards the representation of
terminological knowledge and reasoning procedures for it. For
applications in areas such as the Semantic Web, Bio-medicine, Context-aware
systems and others, representation of merely crisp information is not
enough. Instead it is important to deal with vague or uncertain terms,
as well as with imprecise definitions in order to reflect better the 
real-world semantics and build more adequate knowledge-based systems. In 
recent years, several extensions of DLs have been developed to address 
these needs. However, many problems remain open in these extensions -- ranging 
from fundamental questions such as what kind of semantics do applications 
require to enhancing existing reasoning algorithms and systems to handle the 
associated, possibly large, data.

The proposed session aims at bringing together researchers working on
rough, fuzzy, and probabilistic extensions to DLs, and discussing
the latest results in the area. To this end we intend to solicit
theoretical contributions, new empirical results, implementation and 
modeling experience reports, and system demonstrations.
The discussion encouraged by the session will aid in the further
advancement of this emerging area.

Organizers:
Maria Keet. University of KwaZulu-Natal, South Africa. keet@ukzn.ac.za
Pavel Klinov. University of Ulm, Germany. pavel.klinov@uni-ulm.de
Rafael Penaloza. TU Dresden, Germany. penaloza@tcs.inf.tu-dresden.de
Anni-Yasmin Turhan. TU Dresden, Germany. turhan@tcs.inf.tu-dresden.de