From Representing Knowledge to Representing Behaviour


Semantic Web languages such as RDF, RDFS and OWL are suitable for representing static knowledge, which enables the integration of data and information from multiple systems. With knowledge graphs, these technologies are becoming widely deployed in enterprise settings. But many applications require more than just information integration. Scenarios around the Internet of Things, such as Smart Homes and Smart Factories, where the physical and virtual worlds are becoming connected via sensors and actuators, require languages that allow for the representation of behaviour.

The talk outlines Read-Write Linked Data as a foundation for accessing sensors and actuators. The talk further reports on the experiences of implementing applications that use approaches for representing behaviour in a formalism independent of specific information systems. Representing dynamical aspects in such a way allows for the monitoring and execution of tasks, but also provides the basis for the analysis of behaviour specifications.


PDF icon towards-representing-behaviour-harth.pdf


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