An approach for Semantic Enrichment of Sensor Data
Meriem Djezzar, Mounir Hemam, Moufida Maimour, Fatima Zahra Amara, Khaoula Falek, Zianou Ahmed Seghir · 2018
Sensor technologies and Wireless Sensor Networks (WSN) are conceived to assemble huge volumes of heterogeneous data for monitoring environmental phenomenon. Sharing, reusability and fusion of sensor data from heterogeneous sensor networks is not possible without understanding the semantics of the data. In this paper, we are interested in semantic interoperability of sensor data to design interoperable domain sensor Web applications. To deal with this challenge, we propose an approach based on semantic Web technologies which offers semantic interoperability for sensor data among heterogeneous WSN. For this purpose, we first propose a data vocabulary extended from SSN ontology to facilitate manual annotation on sensors, observations and measurements, by providing semantic metadata about spacial, temporal and thematic properties. We then propose to publish the sensor datasets as linked data to allow querying and analysis over collected sensor descriptions and sensor streams. Finally, we apply a reasoning mechanism on semantically annotated sensor data to infer and discover new knowledge, and answer complex queries. To illustrate our approach, we apply it on an example concerning the meteorological domain.