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This paper describes the design and an implementation prototype of the VLAM-G platform.
We also present an implementation prototype and examine its scalability with respect to the size of the input CKR and the amount (level) of defeasibility in experiments.
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We classify the remaining papers into two categories: (1) system implementation, prototyping, and deployment; and (2) individual module/protocol design and optimization.
The implementation prototypes of some of the systems are based on older technology and older software designs, making them appear to perform poorly.
Chips are costly and implementation and prototype development is hard.
While the applicability of the deductive approach is independent of any particular implementation, our prototype implementation, called BioDeducta, is built largely from existing components.
Availability and implementation: A prototype implementation is freely available at https://sourceforge.net/projects/dacoalgorithm/.net/projects/dacoalgorithm/
Critical success factors related to worker participation, needs and constraints analysis, and the implementation of prototypes, are presented.
In collaboration with the Department of Defense and the Centers for Medicare and Medicaid Services, we are building a sturdy container for discussion: open architectures, standards-based implementation, rapid prototyping, and customer feedback.
Section Implementation and example presents the components of our prototype implementation.
Our prototype implementation is based on PostgreSQL and the UMLS::Similarity implementation.
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