  We introduce a novel logic-based system for reasoning over data streams,
which relies on a framework enabling a tight, fine-tuned interaction between
Apache Flink and the I^2-DLV system. The architecture allows to take advantage
from both the powerful distributed stream processing capabilities of Flink and
the incremental reasoning capabilities of I^2-DLV based on overgrounding
techniques. Besides the system architecture, we illustrate the supported input
language and its modeling capabilities, and discuss the results of an
experimental activity aimed at assessing the viability of the approach. This
paper is under consideration in Theory and Practice of Logic Programming
(TPLP).
