Paper Info
Title
Ontology Development for Context-Sensitive Decision Support.
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.
Year
DOI
Venue
2007
10.1109/SKG.2007.98
SKG
Keywords
Field
DocType
knowledge component,problem domain,generic capability,ontology development,generic knowledge model,context-sensitive decision support,semantic ontology technique,end-user specific knowledge,data visualization,problem ontology,data interoperability,data integration,knowledge based system,software engineering,decision support systems,web development,data integrity,knowledge based systems,decision support,software development
Ontology (information science),Data integration,Ontology,Ontology-based data integration,Data mining,Computer science,Decision support system,Knowledge-based systems,Upper ontology,Software development
Conference
ISBN
Citations 
PageRank 
0-7695-3007-9
5
0.57
References 
Authors
11
3
Name
Order
Citations
PageRank
Shah J. Miah150.90
John G. Gammack2101.92
Don Kerr3388.02