A Multi-representation Ontology for the Specification of Multi-context Requirements

  • Authors:
  • Achraf Mtibaa;Faîez Gargouri

  • Affiliations:
  • MIRACL Laboratory - Higher institute of data processing and multi-media of Sfax, Tunisia;MIRACL Laboratory - Higher institute of data processing and multi-media of Sfax, Tunisia

  • Venue:
  • Advanced Internet Based Systems and Applications
  • Year:
  • 2009

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Abstract

There are many problems associated with requirements engineering. In fact, some concepts can be seen differently according to the user's context. The requirement specification generates several problems of incoherence, ambiguity and difficulty when users admit different contexts. These problems may lead to poor requirements and unsatisfactory or unacceptable future system. For this reason, we propose a multi-representation ontology to solve these conflicts and problems. In this paper, we propose our motivation and we expose our top-down approach for building a multi-representation ontology dedicated to multi-context requirements specification in the e-learning field.