EFFICIENT LITERATURE RESEARCH BASED ON SEMANTIC TAGNETS - Implemented and Evaluated for a German Text-corpus

Uta Christoph, Daniel Götten, Karl-Heinz Krempels

2010

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.

Paper Citation

in Harvard Style

Christoph U., Götten D. and Krempels K. (2010). EFFICIENT LITERATURE RESEARCH BASED ON SEMANTIC TAGNETS - Implemented and Evaluated for a German Text-corpus . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST, ISBN 978-989-674-025-2, pages 48-54. DOI: 10.5220/0002805400480054

in Bibtex Style

@conference{webist10,
author={Uta Christoph and Daniel Götten and Karl-Heinz Krempels},
title={EFFICIENT LITERATURE RESEARCH BASED ON SEMANTIC TAGNETS - Implemented and Evaluated for a German Text-corpus},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,},
year={2010},
pages={48-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002805400480054},
isbn={978-989-674-025-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,
TI - EFFICIENT LITERATURE RESEARCH BASED ON SEMANTIC TAGNETS - Implemented and Evaluated for a German Text-corpus
SN - 978-989-674-025-2
AU - Christoph U.
AU - Götten D.
AU - Krempels K.
PY - 2010
SP - 48
EP - 54
DO - 10.5220/0002805400480054