Persistent Storage and Query of E-government Ontologies in Relational Databases

  • Jean Vincent Fonou-Dombeu
  • Nicholas Mwenya Phiri
  • Madga Huisman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8650)

Abstract

Over the past eight years, building ontologies for semantic-driven e-government applications has been a subject of interest to e-government researchers. However, only a few has focused on the persistent storage and query of ontologies of the e-government domain. In this paper, 3 selected e-government ontologies are persistently stored and queried in relational databases. The OWL and RDF codes of these ontologies generated with Protégé or downloaded from the Internet are parsed with Jena API (Application Programming Interface) and loaded into MySQL RDBMS (Relational Database Management System). Thereafter, SPARQL queries are written to extract information from the created ontology databases. Experiments show that (1) the Jena parser scales well and could successfully parse and store e-government ontologies of different sizes into relational databases, and (2) the response times of SPARQL queries written in Jena to MySQL ontology databases are proportional to the sizes of the ontologies.

Keywords

E-government Semantic Web Ontology Storage Ontology Query Protégé Jena API MySQL SPARQL 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jean Vincent Fonou-Dombeu
    • 1
  • Nicholas Mwenya Phiri
    • 1
  • Madga Huisman
    • 2
  1. 1.Department of Software StudiesVaal University of TechnologyVanderbijlparkSouth Africa
  2. 2.School of Computer, Statistical and Mathematical SciencesNorth-West UniversityPotchefstroomSouth Africa

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