Title: A framework for semantic model based on ontologies generation for e-government applications: case study of Tunisia Government

Authors: Hatem Ben Sta

Addresses: Higher Institute of Management, SOIE Laboratory, University of Tunis, Tunis, Tunisia; Higher Institute of Computer Science, University of Tunis El Manar, Tunis, Tunisia

Abstract: This paper presents a framework for generating semantic model ontologies in OWL syntax from a government service domain. Firstly, the government service domain is analysed and domain ontology is constructed to capture its semantic content. Thereafter, a semiformal representation of the domain ontology is created with the ontology knowledge-based editor Protégé. Finally, the OWL ontology model is imported. This study aims at providing e-government developers, particularly those from the developing world, with an easy-to-use framework for practising semantic knowledge representation in e-government processes, thus facilitating the design of e-government systems that can be easily integrated and maintained. The other challenge when integrating information systems in any domain such as e-government is the challenge of interoperability. One can distinguish between three levels of interoperability: technical, semantic, and organisational. The technical aspect has been widely tackled especially after the ubiquity of internet technologies.

Keywords: e-government; ontology; OWL; interoperability; data integration; data governance; process governance; business process modelling; Protégé; software engineering.

DOI: 10.1504/IJMSO.2017.087640

International Journal of Metadata, Semantics and Ontologies, 2017 Vol.12 No.1, pp.1 - 18

Received: 28 May 2016
Accepted: 14 Feb 2017
Published online: 30 Oct 2017 *

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