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Knowledge Management in Website Quality Evaluation Domain

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Book cover Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

Abstract

This paper deals with the problem of building a repository of knowledge about the methods and models of assessing the quality of Internet services. The repository has been constructed in the form of ontologies representing the various methods of quality assessment. For this purpose, the algorithm was developed based on ontologies with conceptualization of knowledge contained in the individual methods, and each completed ontology was evaluated. As a result of the research, domain ontologies were implemented reflecting the website quality assessment methods.

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Author information

Authors and Affiliations

  1. The Jacob of Paradyż University of Applied Sciences in Gorzów Wielkopolski, Teatralna 25, 66-400, Gorzów Wielkopolski, Poland

    Paweł Ziemba & Jarosław Becker

  2. West Pomeranian University of Technology, Żołnierska 49, 71-210, Szczecin, Poland

    Jarosław Jankowski & Jarosław Wątróbski

  3. Department of Computational Intelligence, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Jarosław Jankowski

Authors
  1. Paweł Ziemba
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  2. Jarosław Jankowski
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  3. Jarosław Wątróbski
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  4. Jarosław Becker
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Corresponding author

Correspondence to Paweł Ziemba .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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Ziemba, P., Jankowski, J., Wątróbski, J., Becker, J. (2015). Knowledge Management in Website Quality Evaluation Domain. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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