Abstract
A software application is demonstrated which exhibits conceptual data independence. The application provides domain-specific functionality, yet its structure is domain-independent. Separation between conceptual model and structure is achieved by encoding models as data and interpreting them at run-time. The overall goal is to reduce cost and delay when conceptual models change, and to provide application functionality in new domains without constructing new applications. Several conceptual models are used, to illustrate domain-specific behavior in multiple domains. Results suggest that domain-independent application design can reduce the need for application development and maintenance effort, since each domain-independent application can function in multiple domains and adapts smoothly to changing conceptual models. This is especially meaningful for end users who usually have no development skills and rely on spreadsheet and database driven applications.
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Kapros, E., McGinnes, S. (2013). Cognitive Semantic Categories as a Basis for a Prototype Adaptive Information System. In: Hussein, T., Paulheim, H., Lukosch, S., Ziegler, J., Calvary, G. (eds) Semantic Models for Adaptive Interactive Systems. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-5301-6_3
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DOI: https://doi.org/10.1007/978-1-4471-5301-6_3
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