Ontology Development for Context-Sensitive Decision Support

  • Authors:
  • Shah J. Miah;John Gammack;Don Kerr

  • Affiliations:
  • -;-;-

  • Venue:
  • SKG '07 Proceedings of the Third International Conference on Semantics, Knowledge and Grid
  • Year:
  • 2007

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Abstract

Semantics have become acceptable techniques for data integration, data interoperability and data visualization in many software engineering domains and web developments over the past few years. This paper describes a software development where semantic ontology techniques have been used for developing a generic knowledge model applicable across rural industries. This technique enables us to outline a single access point for building end-user specific knowledge based systems. We have called the new solution prototype an End-User Enabled Design Environment (EUEDE) where the knowledge components from the problem ontology is used in building specific decision systems that are context- sensitive to end-user factors. Illustrating with an application from the dairy industry, we describe the design architecture and theory, and argue its generic capability to application in other problem domains.