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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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
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