With additional quality modeling features added to conceptual models, computers could play a greater role in ensuring a higher level of quality in the information we model. For information-discovery applications, these additional conceptual modeling features should automatically accommodate certainty and conflicting information, support evidence-based research, automate collaboration, and provide research guidance. To address these issues, we propose a superstructure that adds four additional abstraction layers to typical conceptual models: a knowledge layer, an evidence layer, a communication layer, and an action layer. We show by a running example the benefits these abstraction layers provide for increasing the quality of the information being modeled.
CITATION STYLE
Embley, D. W., Liddle, S. W., & Woodfield, S. N. (2014). A superstructure for models of quality. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8823, pp. 147–156). Springer Verlag. https://doi.org/10.1007/978-3-319-12256-4_16
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