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Efficient Literature Research Based on Semantic Tagnets: Implemented and Evaluated for a German Text-Corpus

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Web Information Systems and Technologies (WEBIST 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 75))

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Abstract

In this paper we present an approach that is capable to automatically generate semantic tagnets for given sets of german tags (keywords) and an arbitrary text corpus using three different analysis methods. The resulting tagnets are used to estimate similarities between texts that are manually tagged with the keywords from the given tagset. Basically, this approach can be used in digital libraries to provide an efficient and intuitive interface for literature research. Although it is mainly optimized for the german language the proposed methods can easily be enhanced to generate tagnets for a given set of english keywords.

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Author information

Authors and Affiliations

  1. RWTH Aachen University, Ahornstr. 55, 52074, Aachen, Germany

    Uta Christoph, Daniel Götten, Karl-Heinz Krempels & Christoph Terwelp

Authors
  1. Uta Christoph
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  2. Daniel Götten
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  3. Karl-Heinz Krempels
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  4. Christoph Terwelp
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Editor information

Editors and Affiliations

  1. Department of Systems and Informatics, Polytechnic Institute of SetĂşbal, Rua do Vale de Chaves - Estefanilha, 2910-761, SetĂşbal, Portugal

    Joaquim Filipe

  2. Institute for Systems and Technologies of Information, Control and Communication Department of Systems and Informatics, Polytechnic Institute of SetĂşbal, Rua do Vale de Chaves - Estefanilha, 2910-761, SetĂşbal, Portugal

    José Cordeiro

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© 2011 Springer-Verlag Berlin Heidelberg

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Christoph, U., Götten, D., Krempels, KH., Terwelp, C. (2011). Efficient Literature Research Based on Semantic Tagnets: Implemented and Evaluated for a German Text-Corpus. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2010. Lecture Notes in Business Information Processing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22810-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-22810-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22809-4

  • Online ISBN: 978-3-642-22810-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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