Mar 8, 2019 · Associating sensor data with existing domain ontologies is an effective way to give richer semantic meaning to the sensor data, and to realize ...

Mar 8, 2019 · In order to optimize intelligent applications driven by various sensors, it is vital to properly interpret and reuse sensor data from different ...

In our approach, we first classify the sensor data by making them as SSN (Semantic Sensor Network) ontology instances, and map the corresponding instances to ...

This paper proposes a novel mechanism to achieve the association between sensor data and domain ontology, and performs experimental results which confirm ...

In our approach, we first classify the sensor data by making them as SSN (Semantic Sensor Network) ontology instances, and map the corresponding instances to ...

This paper presents an ontology-based approach for data quality inference on streaming observation data originating from large-scale sensor networks.

Oct 19, 2017 · The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the involved procedures, the studied features of ...

This study looks at ways to improve how wind speed, temperature, rain, and relative humidity sensors predict fire conditions using deep knowledge mining from ...

In this paper, we present our approach to semantically augment an existing sensor data infrastructure, in which data is published via a RESTful API as inter- ...

Jan 16, 2020 · The Semantic Sensor Network (SSN) ontology is an ontology for describing sensors and their observations, the procedures used, the features of interest and ...