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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Adadi, A., Berrada, M., Chenouni, D., Bounabat, B.: A semantic web service composition for e-government. J. Theor. Appl. Inf. Technol. 71, 460–467 (2015)
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
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)
Bontas, E.P., Mochol, M., Tolksdorf, R.: Case studies on ontology reuse. In: 5th International Conference on Knowledge Management (I-Know 2005), Graz, Austria (2005)
Ochs, C., Perl, Y., Geller, J., Arabandi, S., Tudorache, T., Musen, M.A.: An empirical analysis of ontology reuse in BioPortal. J. Biomed. Inform. 71, 165–177 (2017)
Sabou, M., Lopez, V., Motta, E., Uren, V.: Ontology selection: ontology evaluation on the real semantic web. In: WWW 2006, Edinburgh, UK (2006)
Yang, Z., Zhang, D., Ye, C.: Evaluation metrics for ontology complexity and evolution analysis. In: Proceedings of the IEEE International Conference on e-Business Engineering, Shanghai, China, pp. 162–170 (2006)
Zhang, H., Li, Y.F., Tan, H.B.K.: Measuring design complexity of semantic web ontologies. J. Syst. Softw. 83, 803–814 (2010)
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)
Corradini, F., Angelis, F., Polzonetti, A., Re, B., Brugnoni, E.: E-GoVQoS: an ontology for quality of e-governmemnt services. In: Wimmer, M.A., Scholl, H.J., Gronlund, A., Andersen, K.V. (eds.) EGOV 2006. LNCS, vol. 4084, pp. 171–178. Springer, Heidelberg (2006)
Myrseth, P., Stang, J., Dalberg, V.: A data quality framework applied to e-government metadata - a prerequsite to establish governance of interoperable e-services. In: Proceedings of the International Conference on E-Business and EGovernment (ICEE 2011), Shanghai, China (2011)
Magoutas, B., Halaris, C., Mentzas, G.: An ontology for the multi-perspective evaluation of quality in e-government services. In: Wimmer, M.A., Scholl, J., Grönlund, Å. (eds.) EGOV 2007. LNCS, vol. 4656, pp. 318–329. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74444-3_27
Rodríguez, R.A., Giulianelli, D.A., Welicki, L., Vera, P.M.: Measurement framework for evaluating e-governance on municipalities websites. In: ICEGOV 2008, Cairo, Egypt, pp. 381–387 (2008)
Candiello, A., Albarelli, A., Cortesi, A.: Quality and impact monitoring for local eGovernment services. Transform. Gov.: People, Process Policy 6, 112–125 (2012)
Fonou-Dombeu, J.V., Kazadi, Y.K.: Complexity based analysis of eGov ontologies. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2017. LNCS, vol. 10441, pp. 115–128. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64248-2_9
Ouchetto, H., Ouchetto, O., Roudies, O.: Ontology-oriented e-gov services retrieval. Int. J. Comput. Sci. Issues 2, 99–107 (2012)
Distinto, I., d’Aquin, M., Motta, E.: LOTED2: an ontology of European public procurement notices. Semant. Web J. 7, 1–15 (2016)
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)
Lamharhar, H., Chiadmi, D., Benhlima, L.: Ontology-based knowledge representation for e-government domain. In: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2015), Brussels, Belgium (2015)
Fonou-Dombeu, J.V., Huisman, M.: Adaptive search and selection of domain ontologies for reuse on the semantic web. J. Emerg. Technol. Web Intell. 5, 230–239 (2013)
Tartir, S., Arpinar, B., Moore, M., Sheth, A., Aleman-Meza, B.: OntoQA: metric-based ontology quality analysis. In: IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources, USA, pp 45–53 (2005)
Yao, H., Orme, A.M., Etzkorn, L.: Cohesion metrics for ontology design and application. J. Comput. Sci. 1, 107 (2005)
Pak, J., Zhou, L.: A framework for ontology evaluation. In: Sharman, R., Rao, H.R., Raghu, T.S. (eds.) WEB 2009. LNBIP, vol. 52, pp. 10–18. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-17449-0_2
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-27523-5_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27522-8
Online ISBN: 978-3-030-27523-5
eBook Packages: Computer ScienceComputer Science (R0)