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OntoMetrics Evaluation of Quality of e-Government Ontologies

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Electronic Government and the Information Systems Perspective (EGOVIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11709))

Abstract

At present, there is a shortage of studies which focus on the analysis of existing e-government ontologies on the web to promote their reuse, maintenance and evolution. This research attempts to fill this gap by identifying and evaluating existing e-government ontologies on the web. Twenty ontologies of the e-government domain are downloaded on the web and a set of quantitative quality metrics adopted from the OntoMetrics ontology evaluation framework are applied to evaluate their schema, knowledge base and graph features. The evaluation results provide insights on the accuracy, understandability, cohesion and conciseness of the e-government ontologies studied.

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Authors and Affiliations

  1. School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Scottsville, Pietermaritzburg, 3209, South Africa

    Jean Vincent Fonou-Dombeu & Serestina Viriri

Authors
  1. Jean Vincent Fonou-Dombeu
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  2. Serestina Viriri
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Corresponding author

Correspondence to Jean Vincent Fonou-Dombeu .

Editor information

Editors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. National Research Council, Rome, Italy

    Enrico Francesconi

  3. Johannes Kepler University of Linz, Linz, Austria

    Gabriele Anderst-Kotsis

  4. Software Competence Center Hagenberg, Hagenberg im Mühlkreis, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Austria

    Ismail Khalil

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Fonou-Dombeu, J.V., Viriri, S. (2019). OntoMetrics Evaluation of Quality of e-Government Ontologies. In: Kő, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2019. Lecture Notes in Computer Science(), vol 11709. Springer, Cham. https://doi.org/10.1007/978-3-030-27523-5_14

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  • DOI: https://doi.org/10.1007/978-3-030-27523-5_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27522-8

  • Online ISBN: 978-3-030-27523-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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