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The Forest Observatory Ontology (FOO) is an ontology for describing wildlife data generated by sensors. FOO’s scope evolves around the Internet of Things (IoT) and wildlife habitats. To illustrate our datasets of interest, we modelled the concept to represent “sensors observing animals and land”. These sensors generate observations. For example, the animal GPS collar tracks an elephant and records its geo-location observations for different and equally spaced time intervals and temperature every specified time interval. We adopted classes and properties from SOSA and BBC wildlife ontologies to model the domain coverage. FOO contains 58 classes, 28 object properties, 27 data properties, 39 individuals or instances, 86 nodes, and 67 edges.
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