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Call for papers: Vagueness, Imprecision and Uncertainty in Description Logics

From: <penaloza@tcs.inf.tu-dresden.de>
Date: Wed, 08 May 2013 05:39:41 +0200 (MEST)
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Vagueness, Imprecision and Uncertainty in Description Logics
Special Session at the Joint Rough Set Symposium (JRS 2013)
	(October 11-14, Halifax, Canada)


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 --
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.

This special session aims at bringing together researchers working on
rough, fuzzy, and probabilistic extensions to DLs, and discussing
the latest results in the area.

We solicit theoretical contributions, new empirical results, implementation
and modeling experience reports, and system demonstrations.
The session will encourage discussions that aid in the further advancement
of this emerging area.

Topics of interest include, but are not limited to:
- Decidable rough DL languages
- Rough reasoning
- Scalable reasoning with data properties for rough set attributes
- Interaction of rough ontologies with large amounts of data
- Applications of rough ontologies
- Rough set decision tables and DLs
- Vagueness and imprecision in DLs
- Fuzzy and other extensions of DLs for vagueness
- Probabilistic DLs
- Possibilistic and other extensions of DLs for uncertainty
- System descriptions and empirical results
- Experiences on modeling vague, imprecise or uncertain knowledge

Submissions are made through Easychair at

When submitting, please make sure to select the corresponding Special

Submitted paper should be between 8 and 10 pages long, in
Springer LNCS format. All accepted papers will be published in
Springer's LNAI series.

A Special Issue of a journal is planned for the best submissions.

Submission Deadline: May 25

Maria Keet. University of KwaZulu-Natal, South Africa.
Pavel Klinov. University of Ulm, Germany.
Rafael Peñaloza. TU Dresden, Germany.
Anni-Yasmin Turhan. TU Dresden, Germany.

Dr. rer. nat. Rafael Penaloza
Technische Universität Dresden
Fakultät Informatik
Institut für Theoretische Informatik
Lehrstuhl für Automatentheorie
01062 Dresden
Tel.: +49 (351) 463-38351
Fax: +49 (351) 463-37959
E-Mail: penaloza@tcs.inf.tu-dresden.de
Received on Wednesday, 8 May 2013 03:40:11 UTC

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