Towards a Role-Based Contextual Database

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9809)


Traditional modeling approaches and information systems assume static entities that represent all information and attributes at once. However, due to the evolution of information systems to increasingly context-aware and self-adaptive systems, this assumption no longer holds. To cope with the required flexibility, the role concept was introduced. Although researchers have proposed several role modeling approaches, they usually neglect the contextual characteristics of roles and their representation in database management systems. Unfortunately, these systems do not rely on a conceptual model of an information system, rather they model this information by their own means leading to transformation and maintenance overhead. So far, the challenges posed by dynamic complex entities, their first class implementation, and their contextual characteristics lack detailed investigations in the area of database management systems. Hence, this paper, presents an approach that ties a conceptual role-based data model and its database implementation together, to directly represent the information modeled conceptually inside a database management system. In particular, we propose a formal database model to describe roles and their contextual information in compartments. Moreover, to provide a context-dependent role-based database interface, we extend RSQL by compartments. Finally, we introduce RSQL Result Net to preserve the contextual role semantics as well as enable users and applications to both iterate and navigate over results produced by RSQL. In sum, these means allow for a coherent design of more dynamic, complex software systems.


Role model Query language Contextual database Result net 



This work is funded by the German Research Foundation (DFG) within the Research Training Group “Role-based Software Infrastructures for continuous-context-sensitive Systems” (GRK 1907).


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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Database Technology GroupTechnische Universität DresdenDresdenGermany
  2. 2.Software Technology GroupTechnische Universität DresdenDresdenGermany

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