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Subject: [ E-CFP ] Call for papers: Vagueness, Imprecision and Uncertainty in Description Logics
From: <penaloza_(on)_tcs.inf.tu-dresden.de>
Date received: 08 May 2013
Deadline: 25 May 2013
Start date: 11 Oct 2013


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 -- 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.

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
- 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 Session.

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

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

-- -------------------------------- 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_(at)_tcs.inf.tu-dresden.de
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