In this work, we present two practical extensions about the integration of knowledge elements into ontologies and the dynamic selection of methods. First, we propose a mechanism to integrate the abstracted methods and other elements of the knowledge model developed for the given problem into an ontology, using them later via a set of adapters or bridges. Second, as we detected the recurrence of some complex patterns of selection, we propose some extensions of the basic selection mechanism, in order to simplify the notation and the treatment; these new selection processes are transferred to an external layer (called meta-application). Finally, we point the use of these extensions in two cases: design of new structures and digital image analysis.
CITATION STYLE
Bienvenido, J. F., & Flores-Parra, I. M. (2003). Extended models of dynamic selection using ontological elements - Application to design and image analysis problems. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2774 PART 2, pp. 1291–1298). Springer Verlag. https://doi.org/10.1007/978-3-540-45226-3_175
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