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Ontology-Based Modelling and Information Extracting of Physical Entities in Semantic Sensor Networks

ABSTRACT The semantic sensor web adds semantic web technologies such as ontology to sensor network. Semantic technologies can help the better management of query and data aggregation of the sensor network. So far, several ontologies have been presented for the semantic presentation of sensor networks concepts. However, applications and end-users require physical entities information rather than technical details and information regarding sensors and sensor network. This paper semantically models physical entities whose information is collected by sensor networks at a level higher than sensors and their observations. Hence, first, an ontology is presented for semantically modelling physical entities in the real world. Then, essential extensions are added to the model for modelling time, place, and relations of the entities with each other. In the end, a method was proposed for extracting the semantic information of entities from the data collected based on the presented model. Result of the modelling and simulation of the presented strategies on climate data indicates the desirable performance of modelling and entity-based information reasoning as compared to works carrying out sensor-based semantic modelling.