Ontology Development for Context-Sensitive Decision Support
Shah Jahan Miah, John G. Gammack, Don V. Kerr · Third International Conference on Semantics, Knowledge and Grid (SKG 2007) · 2007
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.