An ontology-driven decision support system for land delivery in Zambia

  • Authors:

  • Henry Abanda;Austine Ng'ombe;Joseph H. M. Tah;Ramin Keivani

  • Affiliations:

  • Department of Real Estate and Construction, Oxford Brookes University, Oxford OX3 0BP, UK;Department of Real Estate and Construction, Oxford Brookes University, Oxford OX3 0BP, UK;Department of Real Estate and Construction, Oxford Brookes University, Oxford OX3 0BP, UK;Department of Real Estate and Construction, Oxford Brookes University, Oxford OX3 0BP, UK

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2011

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Abstract

Land is increasingly becoming important as the global economic crisis and climate change impacts continue to grow. This is mirrored in Zambia where the management of land has become very critical, prompting urgent government intervention/regulatory measures in the form of land reform. However, lack of efficient communication mechanisms inhibits the success of these efforts as officials are unable to make efficient land delivery decisions. This paper investigates the extent to which Semantic Web technology, an emerging communication technology, can be used in developing decision support systems that can facilitate the Zambian land delivery process.