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Reseach Article

A Systematic RDF-based Approach for Structuring Government Open Data to Enhance Accessibility

by Wilson Ambale Amutsama, Isaiah Mulang Onando, Andrew Mwaura Kahonge
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 28
Year of Publication: 2018
Authors: Wilson Ambale Amutsama, Isaiah Mulang Onando, Andrew Mwaura Kahonge
10.5120/ijca2018918152

Wilson Ambale Amutsama, Isaiah Mulang Onando, Andrew Mwaura Kahonge . A Systematic RDF-based Approach for Structuring Government Open Data to Enhance Accessibility. International Journal of Computer Applications. 182, 28 ( Nov 2018), 11-17. DOI=10.5120/ijca2018918152

@article{ 10.5120/ijca2018918152,
author = { Wilson Ambale Amutsama, Isaiah Mulang Onando, Andrew Mwaura Kahonge },
title = { A Systematic RDF-based Approach for Structuring Government Open Data to Enhance Accessibility },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2018 },
volume = { 182 },
number = { 28 },
month = { Nov },
year = { 2018 },
issn = { 0975-8887 },
pages = { 11-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number28/30155-2018918152/ },
doi = { 10.5120/ijca2018918152 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:43.103611+05:30
%A Wilson Ambale Amutsama
%A Isaiah Mulang Onando
%A Andrew Mwaura Kahonge
%T A Systematic RDF-based Approach for Structuring Government Open Data to Enhance Accessibility
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 28
%P 11-17
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Open government data publishing is considered complete when the data is machine-readable, which is achieved through the Linked Open Data Standards. Although most governments around the world are launching e-government systems for better service delivery, most developing countries are yet to implement the use of the semantic web in their knowledge sharing approaches and Kenyan isn’t an exception. This research presents an approach that employs Resource Description Framework to generate structured data from open government data. This paper details the systematic steps followed from data selection to the development of an ontology and user interfacing modes of access using a case study of the Kenyan government open data portal. The approach makes use of ontology to structure some domain of the government data in the open data portal for easy, access and retrieval. Software evaluation metrics (precision, recall, and f-measure) for retrieval systems was employed as the evaluation approach. A set of sample queries are designed together with their expected outputs, then the queries are run and the outcomes are compared. Results of the evaluation indicate that the approach achieves viable outcomes. The systematic approach thus described fosters a bidirectional flow of knowledge by using state of the art Semantic Web technologies and allows for a wider scope of knowledge contributors.

References
  1. Alatrish, E. (2013). Comparison Some of Ontology Editors. International Scientific Journal of Management Information Systems, 8(2), 018–024.
  2. Álvarez Sabucedo, L. M., Anido Rifón, L. E., Corradini, F., Polzonetti, A., & Re, B. (2010). Knowledge-based platform for eGovernment agents: A Web-based solution using semantic technologies. Expert Systems with Applications, 37(5), 3647–3656. https://doi.org/10.1016/j.eswa.2009.10.026
  3. Anthopoulos, L. G. (Ed.). (2014). Government e-strategic planning and management: practices, patterns and roadmaps. New York, NY: Springer.
  4. Apostolou, D., Stojanovic, L., Lobo, T. P., Miró, J. C., & Papadakis, A. (2005). Configuring E-Government Services Using Ontologies. In M. Funabashi & A. Grzech (Eds.), Challenges of Expanding Internet: E-Commerce, E-Business, and E-Government (Vol. 189, pp. 141–155). Boston: Kluwer Academic Publishers. https://doi.org/10.1007/0-387-29773-1_10
  5. Attard, J., Orlandi, F., Scerri, S., & Auer, S. (2015). A systematic review of open government data initiatives. Government Information Quarterly, 32(4), 399–418. https://doi.org/10.1016/j.giq.2015.07.006
  6. Auer, S., Lehmann, J., & Ngonga Ngomo, A.-C. (2007). Introduction to linked data and its lifecycle on the web. In Reasoning Web. Semantic Technologies for Intelligent Data Access.
  7. Auer, S., Lehmann, J., Ngonga Ngomo, A.-C., & Zaveri, A. (2013). Introduction to Linked Data and Its Lifecycle on the Web. In S. Rudolph, G. Gottlob, I. Horrocks, & F. van Harmelen (Eds.), Reasoning Web. Semantic Technologies for Intelligent Data Access (Vol. 8067, pp. 1–90). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-39784-4_1
  8. Damljanovic, D., Agatonovic, M., & Cunningham, H. (2010). Natural Language Interfaces to Ontologies: Combining Syntactic Analysis and Ontology-Based Lookup through the User Interaction. In L. Aroyo, G. Antoniou, E. Hyvönen, A. ten Teije, H. Stuckenschmidt, L. Cabral, & T. Tudorache (Eds.), The Semantic Web: Research and Applications (Vol. 6088, pp. 106–120). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-13486-9_8
  9. Lamharhar, H., Chiadmi, D., & Benhlima, L. (2015). Ontology-based knowledge representation for e-government domain (pp. 1–10). ACM Press. https://doi.org/10.1145/2837185.2837203
  10. Marijan, R., & Leskovar, R. (2015). A library’s information retrieval system (In)effectiveness: case study. Library Hi Tech, 33(3), 369–386. https://doi.org/10.1108/LHT-07-2015-0071
  11. Matasyoh, N., Okeyo, G., & Cheruiyot, W. (2016). Ontology-driven Approach for Knowledge Sharing and Retrieval. International Journal of Computer Science Issues, 13(4), 59–67. https://doi.org/10.20943/01201604.5967
  12. Mutuku, L., & Mahihu, C. (2014). A Suggested Framework for Impactful Open Data Applications in Developing Countries. In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance (pp. 498–499). New York, NY,USA:ACM. https://doi.org/10.1145/2691195.2691274
  13. Nahon, K., & Peled, A. (2014). Data Ships: An Empirical Examination of Open (Closed) Government Data (SSRN Scholarly Paper No. ID 2505872). Rochester, NY: Social Science Research Network. Retrieved from http://papers.ssrn.com/abstract=2505872
  14. Rudolph, S. (2011). Foundations of Description Logics. In Proceedings of the 7th International Conference on Reasoning Web: Semantic Technologies for the Web of Data (pp. 76–136). Berlin, Heidelberg: Springer-Verlag. Retrieved from http://dl.acm.org/citation.cfm?id=2033313.2033315
  15. Sengupta, K., & Hitzler, P. (2014). Web Ontology Language (OWL). Encyclopedia of Social Network Analysis and Mining. Retrieved from http://corescholar.libraries.wright.edu/cse/184
  16. Shadbolt, N., O’Hara, K., Berners-Lee, T., Gibbins, N., Glaser, H., Hall, W., & Schraefel, m. c. (2012). Linked Open Government Data: Lessons from Data.gov.uk. IEEE Intelligent Systems, 27(3), 16–24. https://doi.org/10.1109/MIS.2012.23
  17. Shamsi, K. N., & Khan, Z. I. (2012). Development of an E-Learning System Incorporating Semantic Web. International Journal of Research in Computer Science, 2(5), 11–14. https://doi.org/10.7815/ijorcs.25.2012.042
  18. Sunitha, A., & Suresh, B. (2013). Survey on Ontology Construction Tools, Volume 4(Issue 6). Retrieved from IJSER.org
  19. Taye, M. M. (2010). Understanding Semantic Web and Ontologies: Theory and Applications. arXiv:1006.4567 [Cs]. Retrieved from http://arxiv.org/abs/1006.4567
  20. Xiao, Y., Xiao, M., & Zhao, H. (2007). An Ontology for e-Government Knowledge Modeling and Interoperability (pp. 3600–3603). IEEE. https://doi.org/10.1109/WICOM.2007.891
Index Terms

Computer Science
Information Sciences

Keywords

Linked Data Open Data Linked Open Government Data E-government Semantic Web Web 3.0.