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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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References

  1. Alazemi, N., Al-Shehab, A.J., Alhakem, H.A.: Semantic-based e-government framework based on domain ontologies: a case of Kuwait region. J. Theor. Appl. Inf. Technol. 96, 2557–2566 (2018)

    Google Scholar 

  2. Distinto, I., d’Aquin, M., Motta, E.: LOTED2: an ontology of European public procurement notices. Semant. Web J. 7, 1–15 (2016)

    Google Scholar 

  3. Ferneda, E., et al.: Potential of ontology for interoperability in e-government: discussing international initiatives and the Brazilliang case. Braz. J. Inf. Stud. Res. Trends 10, 47–57 (2016)

    Google Scholar 

  4. Fonou-Dombeu, J.V., Huisman, M.: Engineering semantic web services for government business processes automation. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2015. LNCS, vol. 9265, pp. 40–54. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-22389-6_4

    Chapter  Google Scholar 

  5. Ouchetto, H., Ouchetto, O., Roudies, O.: Ontology-oriented e-gov services retrieval. Int. J. Comput. Sci. Issues 2, 99–107 (2012)

    Google Scholar 

  6. Petrusic, D., Segedinac, M., Konjovic, Z.: Semantic modelling and ontology integration of the open government systems. Tehnicki Vjesnik 23, 1631–1641 (2016)

    Google Scholar 

  7. Lonsdale, D., Embley, D.W., Ding, Y., Xu, L., Hepp, M.: Reusing ontologies and language components for ontology generation. Data Knowl. Eng. 69, 318–330 (2010)

    Article  Google Scholar 

  8. Groza, A., Dragoste, I., Sincai, I., Jimborean, I., Moraru, V.: An ontology selection and ranking system based on the analytical hierarchy process. In: The 16th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Timisoara, Romania (2014)

    Google Scholar 

  9. Esposito, A., Zappatore, M., Tarricone, L.: Applying multi-criteria approaches to ontology ranking: a comparison with AKtiveRank. Int. J. Metadata Semant. Ontol. 7, 197–208 (2012)

    Article  Google Scholar 

  10. Subhashini, R., Akilandeswari, J., Haris, S.: An integrated ontology ranking method for enhancing knowledge reuse. Int. J. Eng. Technol. (IJET) 6, 1424–1431 (2014)

    Google Scholar 

  11. Butt, A.S., Haller, A., Xie, L.: DWRank: learning concept ranking for ontology search. Semant. Web 7, 447–461 (2016)

    Article  Google Scholar 

  12. Lee, H.C., Chang, C.: Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renew. Sustain. Energy Rev. 92, 883–896 (2018)

    Article  Google Scholar 

  13. Alani, H., Brewster, C., Shadbolt, N.: Ranking ontologies with AKTiveRank. In: 5th International Conference on the Semantic Web, Athens, Greece, pp. 1–15 (2006)

    Google Scholar 

  14. Park, J., Ohb, S., Ahn, J.: Ontology selection ranking model for knowledge reuse. Expert Syst. Appl. 38, 5133–5144 (2011)

    Article  Google Scholar 

  15. Yu, W., Cao, J., Chen, J.: A Novel Approach for Ranking Ontologies on the Semantic Web. In: 1st International Symposium on Pervasive Computing and Applications, Urumchi, Xinjiang, China, pp. 608–612 (2006)

    Google Scholar 

  16. Yu, W., Chen, J.: Ontology ranking for the semantic web. In: 3rd International Symposium on Intelligent Information Technology Application, NanChang, China, pp. 573–574 (2009)

    Google Scholar 

  17. Jones, M., Alani, H.: Content-based ontology ranking. In: 9th International Protégé Conference, Stanford, CA, USA, pp. 1–4 (2006)

    Google Scholar 

  18. Lantow, B.: OntoMetrics: putting metrics into use for ontology evaluation. In: Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016), Joaquim Filipe, Portugal, pp. 186–191 (2016)

    Google Scholar 

  19. Fonou-Dombeu, J.V., Viriri, S.: CRank: a novel framework for ranking semantic web ontologies. In: Abdelwahed, E.H., Bellatreche, L., Golfarelli, M., Méry, D., Ordonez, C. (eds.) MEDI 2018. LNCS, vol. 11163, pp. 107–121. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00856-7_7

    Chapter  Google Scholar 

  20. Fonou-Dombeu, J.V.: A comparative application of multi-criteria decision making in ontology ranking. In: Abramowicz, W., Corchuelo, R. (eds.) BIS 2019. LNBIP, vol. 353, pp. 55–69. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-20485-3_5

    Chapter  Google Scholar 

  21. Fonou-Dombeu, J.V., Viriri, S.: OntoMetrics evaluation of quality of e-government ontologies. In: Kő, A., Francesconi, E., Anderst-Kotsis, G., Tjoa, A.M., Khalil, I. (eds.) EGOVIS 2019. LNCS, vol. 11709, pp. 189–203. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-27523-5_14

    Chapter  Google Scholar 

  22. Roszkowska, E.: Rank ordering criteria weighting methods - a comparative review. Optimum Studia Ekonomicze NR 5, 14–33 (2013)

    Article  Google Scholar 

  23. Pang, J., Zhang, G., Chen, G.: ELECTRE I decision model of reliability design scheme for computer numerical control. J. Softw. 6, 894–900 (2011)

    Google Scholar 

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58956-1

  • Online ISBN: 978-3-030-58957-8

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