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Modelling of Longitudinal Information Systems with Graph Grammars

  • Conference paper
Applications of Graph Transformations with Industrial Relevance (AGTIVE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5088))

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Abstract

Longitudinal information systems (LIS) manage and evolve data over extensive periods of time. Examples are “womb to tomb” electronic health records. How can we design such systems such that they are future-proof, i.e., evolvable in step with changing requirements? One approach that has been advocated is the “two-level modelling” approach, separating information and knowledge in terms of a small reference model and a larger archetype model. A textual archetype definition language has been proposed to define the mapping between these two models. In this paper, we explore an alternative way to define this mapping using triple graph grammars. The graph grammar based approach has several advantages over the textual approach, including better modularity and tool support.

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Authors and Affiliations

  1. Department of Computer Science, University of Victoria, B.C., Canada

    Jens H. Weber-Jahnke

Authors
  1. Jens H. Weber-Jahnke
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Editors and Affiliations

  1. Fachgebiet Echtzeitsysteme, Technische Universität Darmstadt, D-64283, Darmstadt, Germany

    Andy Schürr

  2. Department of Computer Science, RWTH Aachen, Chair of Computer Science III, Aachen, Germany

    Manfred Nagl

  3. Software Engineering Research Group, Department of Computer Science and Electrical Engineering, University of Kassel, Kassel, Germany

    Albert Zündorf

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© 2008 Springer-Verlag Berlin Heidelberg

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Weber-Jahnke, J.H. (2008). Modelling of Longitudinal Information Systems with Graph Grammars. In: Schürr, A., Nagl, M., Zündorf, A. (eds) Applications of Graph Transformations with Industrial Relevance. AGTIVE 2007. Lecture Notes in Computer Science, vol 5088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89020-1_5

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  • DOI: https://doi.org/10.1007/978-3-540-89020-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89019-5

  • Online ISBN: 978-3-540-89020-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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