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- Date: Wed, 08 May 2013 05:39:41 +0200 (MEST)
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CALL FOR PAPERS ------------------------------------------------------------ Vagueness, Imprecision and Uncertainty in Description Logics Special Session at the Joint Rough Set Symposium (JRS 2013) (October 11-14, Halifax, Canada) http://cs.smu.ca/jrs2013/ ------------------------------------------------------------ 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 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 https://www.easychair.org/account/signin.cgi?conf=jrs2013 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, 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 08:46:13 UTC