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Large Scale Knowledge Representation of Distributed Biomedical Information

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4999))

Abstract

Within the last years the Web dramatically influenced biomedical research. Although it allows for almost instantaneous access to a huge amount of distributed information the problem how to retrieve useful information still persist. With semantic technologies (especially Topic Maps) the solution becomes tangible. We will discuss in this paper concepts and a technical realization for knowledge representation within the biomedical domain. This includes not only the semantic access of distributed and heterogeneous resources based on state-of-the-art enterprise integration technologies (J2EE, Web Services) but also an approach for Topic Map based views on unstructured information from scientific publications. We will furthermore present the implementation of an information portal based on the seamless semantic integration of ~ 500 genome databases and ~16.000.000 abstracts.

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Lutz Maicher Lars Marius Garshol

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© 2008 Springer-Verlag Berlin Heidelberg

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Stümpflen, V., Barnickel, T., Nenova, K. (2008). Large Scale Knowledge Representation of Distributed Biomedical Information. In: Maicher, L., Garshol, L.M. (eds) Scaling Topic Maps. TMRA 2007. Lecture Notes in Computer Science(), vol 4999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70874-2_12

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  • DOI: https://doi.org/10.1007/978-3-540-70874-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70873-5

  • Online ISBN: 978-3-540-70874-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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