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Ranking E-government Ontologies on the Semantic Web

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Electronic Government and the Information Systems Perspective (EGOVIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12394))

Abstract

The field of e-government has been an attractive area of ontology development in the past years, resulting in an increase in the number of e-government ontologies on the web. The availability of these ontologies gives the opportunity to reuse them in future e-government projects rather than trying to develop similar ontologies de novo. This study aims to promote the selection and reuse of e-government ontologies on the web, through the provision of a ranked list of existing e-government ontologies on the basis of their quality metrics. A number of 23 e-government ontologies are downloaded on the web and their quality metrics are computed with the OntoMetrics online ontology evaluation environment. Thereafter, a decision making algorithm is applied to rank the e-government ontologies based on the aggregation of their quality metrics. The decision scheme is constituted of the 23 e-government ontologies or alternatives and their 11 quality metrics or attributes. The experimental results yielded an ordered list of the 23 inputs e-government ontologies ranked according to their quality metrics. This may provide some insights on the selection and reuse of these ontologies in future e-government projects.

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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

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  1. Jean Vincent Fonou-Dombeu
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Correspondence to Jean Vincent Fonou-Dombeu .

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Editors and Affiliations

  1. Department of Information Systems, Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. National Research Council, Florence, Italy

    Enrico Francesconi

  3. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Gabriele Kotsis

  4. Vienna University of Technology, Vienna, Wien, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Ismail Khalil

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Fonou-Dombeu, J.V. (2020). Ranking E-government Ontologies on the Semantic Web. In: Kő, A., Francesconi, E., Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2020. Lecture Notes in Computer Science(), vol 12394. Springer, Cham. https://doi.org/10.1007/978-3-030-58957-8_2

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  • DOI: https://doi.org/10.1007/978-3-030-58957-8_2

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  • Print ISBN: 978-3-030-58956-1

  • Online ISBN: 978-3-030-58957-8

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