Combining Ontology Development Methodologies and Semantic Web Platforms for E-government Domain Ontology Development

Abstract

One of the key challenges in electronic government (e-government) is the development of systems that can be easily integrated and interoperated to provide seamless services delivery to citizens. In recent years, Semantic Web technologies based on ontology have emerged as promising solutions to the above engineering problems. However, current research practicing semantic development in e-government does not focus on the application of available methodologies and platforms for developing government domain ontologies. Furthermore, only a few of these researches provide detailed guidelines for developing semantic ontology models from a government service domain. This research presents a case study combining an ontology building methodology and two state-of-the-art Semantic Web platforms namely Protégé and Java Jena ontology API for semantic ontology development in e-government. Firstly, a framework adopted from the Uschold and King ontology building methodology is employed to build a domain ontology describing the semantic content of a government service domain. Thereafter, UML is used to semi-formally represent the domain ontology. Finally, Protégé and Jena API are employed to create the Web Ontology Language (OWL) and Resource Description Framework (RDF) representations of the domain ontology respectively to enable its computer processing. The study aims at: (1) providing egovernment developers, particularly those from the developing world with detailed guidelines for practicing semantic content development in their e-government projects and (2), strengthening the adoption of semantic technologies in e-government. The study would also be of interest to novice Semantic Web developers who might used it as a starting point for further investigations.

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“…Where semantic technology can play a key role. FonouDombeu & et al discusses this issue in their paper [5] quite well. They discuss how the RDF, OWL and other tools like protégé or Jena API could be used to build domain ontology for the eGovernance domain.…”

OntoDI: The Methodology for Ontology Development on Data Integration

“…Besides that, many researchers had proposed methodologies to develop ontology knowledge [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][37][38][39][40][41][42][43][44][45]. Ontology knowledge is necessary as it became one of the solutions to solve the semantic aspects problem.…”

The Ontology-Based Methodology Phases To Develop Multi-Agent System (OmMAS)

“…This should be done by identifying key concepts and relationships in the domain of interest, to produce precise and unambiguous text definitions for such concepts and relationships and to identify the terms to refer to such concepts and relationships. During the conceptualization phase, the conceptual or domain ontology should be built [25]. The output of this phase should be a document containing the conceptual model and all the terms and relationships that should be in the ontology, with a text definition of each term and relationships, constraints among these terms, relationships, and properties of the terms and relationships.…”