This paper focuses on the problem of interpreting tweets that describe traffic-related events.
We introduce a traffic event domain ontology, called TEDO, that models traffic-related events.
We describe a new tool to automatically interpret traffic-related tweets.
This tool translates each tweet into a set of RDF triples structured according to TEDO.