Abstract
Water locks monitor river stage and discharge for raising and lowering boats between stretches of water of
different levels on a canal or river. In the WaterFRAME project, we are building a water data space to bring
together relevant data producers and consumers, and agree on how data should be discovered, made
interoperable, and trusted. In this demonstrator, we show a prototype visualizing all relevant data for a
water lock from disparate sources. We experimented with Linked Data Event Streams as a source format and
found that combining it with RDF Time Series Snippets reduces the object count, affecting ingestion
efficiency. We ingested the data in a consumption framework and experimented with Virtuoso, Oxigraph, and
Postgres. The demo guides users through interactive modules for historical data browsing, plotting, and
SPARQL querying.