  We present an ontology for representing workflows over components with
Read-Write Linked Data interfaces and give an operational semantics to the
ontology via a rule language. Workflow languages have been successfully applied
for modelling behaviour in enterprise information systems, in which the data is
often managed in a relational database. Linked Data interfaces have been widely
deployed on the web to support data integration in very diverse domains,
increasingly also in scenarios involving the Internet of Things, in which
application behaviour is often specified using imperative programming
languages. With our work we aim to combine workflow languages, which allow for
the high-level specification of application behaviour by non-expert users, with
Linked Data, which allows for decentralised data publication and integrated
data access. We show that our ontology is expressive enough to cover the basic
workflow patterns and demonstrate the applicability of our approach with a
prototype system that observes pilots carrying out tasks in a mixed-reality
aircraft cockpit. On a synthetic benchmark from the building automation domain,
the runtime scales linearly with the size of the number of Internet of Things
devices.
