Guide for Extensions
1 Getting aligned with FIESTA-IoT’s semantic data models
1.1 FIESTA-IoT ontology alignment phase
It is worth highlighting that this ontology is the outcome of a thorough tailoring process from all the different platforms that were part of the FIESTA-IoT’s initial line-up, i.e. SmartSantander (Spain), Smart ICS (UK), Soundcity (France) and KETI (South Korea). Amongst all their assets, where sensors stand out as the dominant realm, we have outlined the most appropriate means of how to describe a single resource, focusing on the essential parts that must be defined in every one, i.e. physical location, owner (testbed), sensor or sensors that are embedded in that concrete resource and their respective quantity kind and units. Aside these key concepts, you can see in the graph another set of nodes that hold a secondary level of information, like VirtualEntity, Coverage or Source, just to cite a few.
They are addressed to describe additional information about the resources, though they are not strictly necessary. Moreover, there is a Metadata class (right side of the figure), where any kind of information could be appended, thus opening the ontology to non-foreseen items (for instance, if a sensor follows a synchronous operation, we might want to represent its frequency or rate, said in other words, the time between consecutive observations).
Having said this, bear in mind that the current version of the ontology is clearly biased towards the sensor realm, as we have only nailed down the details of ssn:SensingDevice downwards. Yet we have introduced the concepts of actuating and tag devices, we have not thoroughly dived into the details.
Together with the part in charge of the description of the resources, we have modelled how an observation harvested by one of these sensors would look like. Essentially, it answer the following questions: who (sensor that has actually measured the observation), where (physical location of the sensor), when (timestamp of the observation), what (quantity kind and unit of measurement of the observation) and last, and the most important, the value of the observation itself.