KNOT is a KNIME plugin helping you visually compose intuitive, reproducible, and easy to distribute Knowledge Discovery pipelines for massive mobility datasets including — but not limited to — Floating Car Data (FCD) ones.
Getting started with KNOT takes only a few minutes. You install our nodes in KNIME and you're ready to go solve challenging issues!
KNOT offers out-of-the-box support for map matching raw trajectories to OpenStreetMap models, so that you can focus on the analyses that really matter.
KNOT supports OpenStreetMap data by default, and all the produced spatial objects are encoded in WKT format to maximize interoperability.
Most of the nodes provided by KNOT can be fine-tuned via the built-in dialogs, so that they can be effortlessly adapted to work with a number of different datasets and scenarios.
KNOT is Open Source, and is designed to be easily extended. For example, if you are working on a novel map matching algorithm, you could easily extend our map matcher node to support it by implementing a simple Java interface.
Along with the custom nodes KNOT provides, you can leverage the full power of the well-known KNIME Analytics Platform and streamline your knowledge discovery process with hundreds of additional nodes provided out of the box.
