134 S. Gustafson et al.
for two reasons. Firstly, the code base of the GBR method consisted of open source
code that could be easily implemented in a prototype environment by application
engineers. The GP system contained too much unsupported code and many scripts
that it required for data management, ensemble learning, diversity measurement,
and visualization. Secondly, the training process was far simpler (both in number of
lines and amount of time) for the GBR system. The GP system required more time to
retrain and many intermediate files had to be managed. This chapter also introduced
Data Science and emphasized the value of having a Data Management solution
tightly coupled with GP. We leveraged an Ontology-Based Data Access approach
using Semantic Web technologies. We hope that these contributions inspire future
work that enable GP to become an effective Data Science tool.
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