The rise of the Internet of Things leads to an unprecedented number of continuous sensor
observations that are available as IoT data streams. Harmonization of such observations is a
labor-intensive task due to heterogeneity in format syntax and semantics. We aim to reduce
the effort for such harmonization tasks by employing a knowledge-driven approach. To this end
we pursue the idea of exploiting the large body of formalized public knowledge represented as
statements in Linked Open Data.
