High level diagrams for identification of knowledge as a basis for a KBE implementation of inspection planning process

This paper presents an approximation to a methology to identify the knowledge required in the inspection process planning with coordinate measuring machines. The focus of the work is in the knowledge capitalization, but in particular the phase of elicitation, that is, the process of obtaining knowledge from experts before its formalization and implementation in a system. The application of knowledge based methodologies to other activities different to the design process problem is scarce. In that paper the application is focused to the problem of the design of the inspection process. The inspection planning is a good candidate for implementing a knowledge based engineering system because the repetitive and well-known decisions to make, although almost this knowledge is today implicit in the expert mind. An extension to MOKA methodology together with IDEF0 graphical modelling has been used. The reason is that this methodology is the only one which allows eliciting knowledge from documents within engineering domains through its ontology. The identification of knowledge is done in a first high-abstraction level of approximation which will serve as basis to a detailed representation and implementation in a KBE platform