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Stuempflen, V. ; Barnickel, T.* ; Nenova, K.*

Large scale knowlege representation of distributed biomedical information scaling topic maps.

In:. Berlin [u.a.]: Springer, 2007. 116-127 (Lect. Notes Comput. Sc. ; 4999)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
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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Publication type Article: Edited volume or book chapter
Keywords Biology ; Dynamic Topic Map Views ; Enterprise Information Integration ; Textmining ; Unstructured Data ; Web Services
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Quellenangaben Volume: 4999, Issue: , Pages: 116-127 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]