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Mapping of Selected Synsets to Semantic Features

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Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

Abstract

In the paper we devise a novel algorithm related to the area of natural language processing. The algorithm is capable of building a mapping between the sets of semantic features and the words available in semantic dictionaries called wordnets. In our research we consider wordnets as ontologies, paying particular attention to hypernymy relation. The correctness of the proposal is verified experimentally based on a selected set of semantic features. plWordNet semantic dictionary is considered as a reference source, providing required information for the mapping. The algorithm is evaluated on an instance of a decision problem related to data classification. The quality measures of the classification include: false positive rate, false negative rate and accuracy. A measure of a strength of membership (SOM) in a semantic feature class is proposed and its impact on the aforementioned quality measures is evaluated.

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Notes

  1. 1.

    We use here the term exact synonyms to denote words with identical meanings. On the other hand by non-exact synonyms we mean words with similar yet not identical meanings.

  2. 2.

    The executable file, short manual and input sets are available at https://github.com/tjastrzab/semantics.

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Acknowledgments

The research was supported by Institute of Informatics research grant no. BKM-515/RAU2/2015.

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Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tomasz Jastrząb, Grzegorz Kwiatkowski & Paweł Sadowski

Authors
  1. Tomasz Jastrząb
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  2. Grzegorz Kwiatkowski
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  3. Paweł Sadowski
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Corresponding author

Correspondence to Tomasz Jastrząb .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Jastrząb, T., Kwiatkowski, G., Sadowski, P. (2016). Mapping of Selected Synsets to Semantic Features. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_28

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  • DOI: https://doi.org/10.1007/978-3-319-34099-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34098-2

  • Online ISBN: 978-3-319-34099-9

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