  Food, energy, and water (FEW) are key resources to sustain human life and
economic growth. There is an increasing stress on these interconnected
resources due to population growth, natural disasters, and human activities.
New research is necessary to foster more efficient, more secure, and safer use
of FEW resources in the U.S. and globally. In this position paper, we present
the idea of a knowledge ecosystem for enabling the semantic data integration of
heterogeneous datasets in the FEW system to promote knowledge discovery and
superior decision making through semantic reasoning. Rich, diverse datasets
published by U.S. federal agencies will be utilized. Our knowledge ecosystem
will build on Semantic Web technologies and advances in statistical relational
learning to (a) represent, integrate, and harmonize diverse data sources and
(b) perform ontology-based reasoning to discover actionable insights from FEW
datasets.
