Semantic Visualization of Biochemical Databases

  • Esteban Zimányi
  • Sabri Skhiri dit Gabouje
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3226)


Extracting and visualizing information from biochemical databases is one of the most important challenges in biochemical research. The huge quantity and high complexity of the data available force the biologist to use sophisticated tools for extracting and interpreting accurately the information extracted from the database. These tools must define a graphical semantics associated to the data semantics in accordance with biologist usages. The aim of these tools is to display complex biochemical networks in a readable and understandable way. In this paper we define the notion of customizable representation model, which allows the biologist to change the graphical semantics associated to the data semantics. The approach is also generic since our graphical semantics is common to several kinds of biochemical networks. We also defined adaptive graph layout algorithms taking into account the particular semantics of biochemical networks. We show how we implemented these notions in the BioMaze project.


Representation Model Interaction Graph Data Semantic Biochemical Network Graphical Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Esteban Zimányi
    • 1
  • Sabri Skhiri dit Gabouje
    • 1
  1. 1.Department of Informatics & Networks, Faculty of EngineeringUniversité Libre de BruxellesBrusselsBelgium

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