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Integration of Text Mining Taxonomies

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Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 454))

Abstract

Text mining services can be used to extract and categorize entities from textual information on the web. Merging results from multiple services could improve extraction quality. This requires to have an integrated extraction taxonomy and corresponding mappings between individual taxonomies that are used for categorizing extracted information. However, current ontology matching approaches cannot be applied since the available meta data within most taxonomies is weak.

In this article we propose a novel taxonomy alignment process that allows us to automatically identify equal, hierarchical and associative mappings and integrate those mappings in a global taxonomy. We broadly evaluate our matching approach on real world service taxonomies and compare to state-of-the-art approaches.

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Authors and Affiliations

  1. SAP AG, Chemnitzer Str. 48, 01187, Dresden, Germany

    Katja Pfeifer & Eric Peukert

Authors
  1. Katja Pfeifer
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  2. Eric Peukert
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Corresponding author

Correspondence to Katja Pfeifer .

Editor information

Editors and Affiliations

  1. Technical University of Lisbon, Lisbon, Portugal

    Ana Fred

  2. Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands

    Jan L.G. Dietz

  3. Henley Business School, University of Reading, Reading, United Kingdom

    Kecheng Liu

  4. INSTICC, Setubal, Portugal

    Joaquim Filipe

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Pfeifer, K., Peukert, E. (2015). Integration of Text Mining Taxonomies. In: Fred, A., Dietz, J., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2013. Communications in Computer and Information Science, vol 454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46549-3_3

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  • DOI: https://doi.org/10.1007/978-3-662-46549-3_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46548-6

  • Online ISBN: 978-3-662-46549-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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