Ontology layering in an early warning sensor (EWS) bicycle accident prevention system

Every domain has a core ontology, with conceptualization specifications, which defines individuals, class attributes and relations. These abstract relations between classes and sub-classes, governed by events and observations are aligned to specific restrictions, rules and functions, which have structural similarities. Integrating sensor event data, challenge the collection and analysis of streamed sensor data from various sensor-typical domains. As a consequence, specific sensor ontologies prescribe class relations with relevance to sensor ontology domains and how sensor characteristics are used in the intended semantics of the descriptive ontology. During ontology layering, similar sensor event processes are discovered, creating a new data set which stores specific annotated sensor data. We expect this new layered dataset presents sufficient data for user localization and movement identification, based on layered radio signal strength indicators (RSSI), required for early warning detection and localization.