Table 1.
Situations, concepts, features of interest, and ontology in the IoT sensor information space.
| Author | Situation | Concepts | IoT Sensor Information Space Features | Ontology |
|---|---|---|---|---|
| [28] | Deducing different activities of a car | Taxicab | Observation Record ID, Data Timestamp, Area ID, Location (longitude and latitude), Velocity, Driving direction, Taxi ID |
High level static OWL Ontology |
| [27] | Early detection of a vehicle collision, health issues with drivers, and accidents involving dangerous goods | Driver, Vehicle | Driver’s ECG, Heart Rate, Accelerometer Position, Speed |
SAREF, LogiCO |
| [29] | Increase volume setting in users’ cell phone, depict sleeping status in an airport lounge sleeping facility | Location, Person, Activity | Temperature, Latitude, Humidity Level, Longitude | SIoT |
| [30] | smart spaces | Car, smart home, workplace, hotel | Temperature, Humidity, Occupancy | VO/CVO |
| [32] | Controlling home appliances using natural language | State, Sensor, Action, Alert, Service | StartAction, StopAction, OffState, PausedState, Water Level, Temperature, Coffee Level | Home Appliances |
| [31] | Network Security | Context, Attack, Vulnerability, and Network Flow | DestIp, DestPort, Protocol, SourceIp, ICMPtype, ICMPcode | Network Security |