The phrase "approach for knowledge" is not commonly used in written English and may sound awkward.
It could be used in contexts where one is seeking information or understanding, but it may require additional clarification for better comprehension.
Example: "In our quest for innovation, we must adopt an approach for knowledge that encourages curiosity and exploration."
Alternatives: "method for gaining knowledge" or "strategy for acquiring knowledge".
Thus, a comprehensive approach for knowledge sharing would support the integrated development of PSS.
"Finland has turned into a unique hub of mobile free-to-play expertise and our games industry takes pride in supportive approach for knowledge sharing.
So, based on the advantages of a distributed approach for knowledge dissemination and the improvement of interaction, we designed and constructed the Mobile Exchange of Knowledge (MEK).
To close the loop for supporting designers in generating design concepts flexibly, fast, and easily, an ontology-based approach for knowledge management that works along with the graphical modeling tool is discussed.
Therefore, finally, the following approach for knowledge evaluation was decided upon.
The current study offers an approach for knowledge acquisition on molecular-genetic regulation in any organism based on literature mining and integration of data sources from model organisms.
We propose an integrated life cycle approach for knowledge-based scenario-driven decision support incorporating three interrelated frameworks at different abstraction levels to support this process.
Distributed machine learning and knowledge exchange from federated databases can be considered as one beyond other attractive approaches for knowledge generation within "Big Data".
Finally, we employ several examples to illustrate the feasibility of the incremental approaches for knowledge reduction of dynamic covering decision information systems when increasing the cardinalities of coverings.
The essence is that the elicitations of knowledge from domain-experts and empirical machine learning are two distinct approaches for knowledge discovery with different and mutually complementary capabilities [11].
The Quintuple Helix could be interpreted as a Quadruple Helix Plus extension, thus representing a further development and evolution in the line of thinking that integrates the ecology (also social ecology) into our approaches for knowledge production and innovation (Carayannis and Campbell [2010]; Carayannis et al. [2012]).
