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Extending Expressiveness of Knowledge Description with Contextual Approach

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Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation (BDAS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 716))

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Abstract

In the paper we show how imposing the contextual structure of a knowledge base can lead to extending its expressiveness without changing the underlying language. We show this using the example of Description Logics, which constitutes a base for a range of dialects for expressing knowledge in ontologies (including state-of-the-art OWL).

While the contextual frameworks have been used in knowledge bases, they have been perceived as a tool for merging different viewpoints and domains, or a tool for simplifying reasoning by constraining the range of the statements being considered. We show, how it may also be used as a way of expressing more complicated interrelationships between terms, and discuss the import of this fact for authoring ontologies.

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Notes

  1. 1.

    With a bit of abuse of the notions, for the sake of simplicity throughout this paper we use the terms “ontology” and “knowledge base” interchangeably.

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Acknowledgements

This work was partially supported by the Polish National Centre for Research and Development (NCBiR) under Grant No. PBS3/B3/35/2015, project “Structuring and classification of Internet contents with prediction of its dynamics” (Polish title: “Strukturyzacja i klasyfikacja treści internetowych wraz z predykcja ich dynamiki”).

Author information

Authors and Affiliations

  1. Gdańsk University of Technology, ul. Gabriela Narutowicza 11/12, 80-233, Gdańsk, Poland

    Aleksander Waloszek & Wojciech Waloszek

Authors
  1. Aleksander Waloszek
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  2. Wojciech Waloszek
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Corresponding author

Correspondence to Wojciech Waloszek .

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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Waloszek, A., Waloszek, W. (2017). Extending Expressiveness of Knowledge Description with Contextual Approach. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-58274-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-58274-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58273-3

  • Online ISBN: 978-3-319-58274-0

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