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International Conference on Topic Map Research and Applications

TMRA 2006: Leveraging the Semantics of Topic Maps pp 62–66Cite as

From Biological Data to Biological Knowledge

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4438))

Abstract

Large scale biological knowledge still organization remains a challenge in life sciences. Not only because related information is spread across several distributed information resources, but also because context dependent information retrieval suffers from an absence of semantic capabilities in biological databases. This prevents intelligent interpretation of data beyond simple key word searches as well as the inference of implicit biological knowledge. We will discuss in this paper the urgent need for semantic technologies for knowledge organization in life sciences and a prototype based on Topic Maps and distributed technologies.

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References

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Author information

Authors and Affiliations

  1. Institute for Bioinformatics (MIPS), GSF - National Research Center for Environment and Health, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany

    Volker Stümpflen, Richard Gregory & Karamfilka Nenova

Authors
  1. Volker Stümpflen
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  2. Richard Gregory
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  3. Karamfilka Nenova
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Editor information

Lutz Maicher Alexander Sigel Lars Marius Garshol

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© 2007 Springer-Verlag Berlin Heidelberg

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Stümpflen, V., Gregory, R., Nenova, K. (2007). From Biological Data to Biological Knowledge. In: Maicher, L., Sigel, A., Garshol, L.M. (eds) Leveraging the Semantics of Topic Maps. TMRA 2006. Lecture Notes in Computer Science(), vol 4438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71945-8_7

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  • DOI: https://doi.org/10.1007/978-3-540-71945-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71944-1

  • Online ISBN: 978-3-540-71945-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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