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Tensor-Based Ontology Data Processing for Semantic Service Matchmaking

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Book cover Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety (BDAS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 928))

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Abstract

In this paper, we present a new application of multilinear data processing to Semantic Web Service matchmaking that is based on the Covariance-Matrix-based Filtering (CMF) algorithm and ontology data representation. We show advisability of integrated algebraic modeling of lexical data derived from web service descriptions and the corresponding ontology-based semantic data. The experimental evaluation results indicate superiority of the covariance-based tensor filtering method over other state-of-the-art tensor processing methods, as well as the advantages of using the proposed ontology data representation.

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Acknowledgments

This work was supported by the Polish National Science Centre, grant DEC-2011/01/D/ST6/06788, and by Poznan University of Technology under grant 04/45/DSPB/0185.

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Authors and Affiliations

  1. Institute of Control, Robotics and Information Engineering, Poznan University of Technology, Piotrowo 3a, 60-965, Poznan, Poland

    Andrzej Szwabe, Paweł Misiorek, Michał Ciesielczyk & Jarosław Bąk

Authors
  1. Andrzej Szwabe
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  2. Paweł Misiorek
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  3. Michał Ciesielczyk
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  4. Jarosław Bąk
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Corresponding author

Correspondence to Jarosław Bąk .

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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Szwabe, A., Misiorek, P., Ciesielczyk, M., Bąk, J. (2018). Tensor-Based Ontology Data Processing for Semantic Service Matchmaking. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety. BDAS 2018. Communications in Computer and Information Science, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-319-99987-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-99987-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99986-9

  • Online ISBN: 978-3-319-99987-6

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