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SDKB 2010 : International Workshop on Semantics in Data and Knowledge Bases

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Conference Series : Semantics in Data and Knowledge Bases
 
Link: http://www.is.informatik.uni-kiel.de/events/sdkb_2010
 
When Jul 5, 2010 - Jul 5, 2010
Where Bordeaux, France
Abstract Registration Due Apr 9, 2010
Submission Deadline Apr 16, 2010
Notification Due May 21, 2010
Final Version Due Jun 4, 2010
Categories    databases   knowledge bases
 

Call For Papers

4th International Workshop on Semantics in Data and Knowledge Bases
July 5, 2010, Bordeaux, France

The SDKB workshop tries to bring together researchers in the areas of data and knowledge bases who work on aspects of semantics. In particular, the workshop seeks original contributions demonstrating the use of logic, discrete mathematics, combinatorics, domain theory and other mathematical theories of semantics for database and knowledge bases, computational linguistics and semiotics, and information and knowledge-based systems.

The SDKB workshop is co-located with ICALP 2010 (37th International Colloquium on Automata, Languages and Programming)

Conceptual modeling has changed over years. Database applications form an integral part of most computational infrastructures. Applications are developed, changed and integrated by specialists in conceptual modeling, by computer engineers, or by people who do not have sufficient related background knowledge. Conceptual databases models are everywhere in applications and are likely to interfere with other models such as functionality models, distribution and collaboration models, and user-interface models. Models also depend on the cultural and educational background of their developers and users. Models typically follow applications, infrastructures, currently existing systems, theoretical and technological insight, and reference models provided by successful applications or literature. This basis of conceptual models is constantly changing and therefore models are constantly evolving or quickly become outdated. Applications are starting in a separated form and are later integrated into new applications. The coherence and consistency of the many coexisting models at best is partially addressed. Furthermore, models not necessarily share their targeted level of abstraction. Recently modeling is challenged by liberation of data from structure and the integration of derived or aggregated data, e.g. in streaming databases, data warehouses and scientific applications. Typically models for applications start at an intermediate level and size. Later they evolve, grow, and tend to become incomprehensible.
Nowadays conceptual modeling in the small has become state of the art for specialists and educated application engineers. Conceptual modeling in the large has been mainly developed within companies that handle large and complex applications. It covers a large variety of aspects such as models of structures, of business processes, of interaction among applications and with users, of components of systems, and of abstractions or of derived models such as data warehouses and OLAP applications. Conceptual modeling in the large is typically performed by many modelers and teams. It also includes architectural aspects within applications. At the same time quality, configuration and versioning of models developed so far become an issue.

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