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Inferences are made from explicit knowledge through rules and mapping as to whether both Product and Process requirements are met by Resource domain capabilities.
Our research shows that many data challenges arise when creating recommendations from explicit knowledge and suggests that techniques based on the concept of implicit knowledge may be preferable in the design of an industrial symbiosis recommender.
Different from existing models of skill learning that use a top-down approach that is, from declarative knowledge to procedural knowledge or from explicit knowledge to implicit knowledge this chapter proposes a bottom-up approach toward skill learning, which goes from procedural to declarative knowledge.
Experience with software testing (research, industry and teaching): it is well-known that tacit knowledge is different from explicit knowledge.
Furthermore, tacit knowledge is not separable from explicit knowledge.
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Bratianu [42] argues that only externalisation (from tacit/implicit to explicit knowledge) and internalisation (from the novel explicit to a higher level of tacit, operational knowledge) are true conversion processes.
The author argues that competitive advantage is more likely to derive from firm-specific knowledge and stresses the importance of the conversion of static knowledge into a more dynamic nature (e.g., from declarative to procedural knowledge and; from tacit to explicit knowledge).
Combined with a systems engineering approach, semantics further combine tacit knowledge from Industrial Symbiosis experts with explicit knowledge from Industrial Symbiosis participants.
Yordanova et al. (2011) have already shown that alpha power, but only in slow wave sleep, is related to the transformation from implicit to explicit knowledge in a "number reduction task".
3. Explicit knowledge from research studies is unlikely to lead us to a "complete understanding" of information needs.
Such systems combine the merits of both fuzzy logic systems and neural networks; namely, the explicit knowledge representation from fuzzy logic methods and the learning ability of neural networks.
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