  Today's international corporations such as BASF, a leading company in the
crop protection industry, produce and consume more and more data that are often
fragmented and accessible through Web APIs. In addition, part of the
proprietary and public data of BASF's interest are stored in triple stores and
accessible with the SPARQL query language. Homogenizing the data access modes
and the underlying semantics of the data without modifying or replicating the
original data sources become important requirements to achieve data integration
and interoperability. In this work, we propose a federated data integration
architecture within an industrial setup, that relies on an ontology-based data
access method. Our performance evaluation in terms of query response time
showed that most queries can be answered in under 1 second.
