Fuzzy ontologies are envisioned to be useful in the Seman-
tic Web. Existing fuzzy ontology reasoners are not scalable
enough to handle the scale of data that the Web provides.
In this paper, we propose a framework of fuzzy query lan-
guages for fuzzy ontologies, and present query answering
algorithms for these query languages over fuzzy DL-Lite on-
tologies. Moreover, this paper reports on implementation
of our approach in the fuzzy DL-Lite query engine in the
ONTOSEARCH2 system and preliminary, but encouraging,
benchmarking results. To the best of our knowledge, this is
the first ever scalable query engine for fuzzy ontologies.