Weather Ontology System in IoT Middleware

Yujin Kim, Soobin Jeon, Inbum Jung

http://doi.org/10.5626/JOK.2019.46.1.97

With the growing importance of weather information, the number of weather information application systems has been increased. Unfortunately, the weather application systems that currently exist neither efficiently store nor manage the vast amount of weather data obtained from various weather sensors. Additionally, they do not utilize the properties contained in the weather data making it difficult to perform intelligent searches using the semantic information present in the weather data. In this paper as a solution to the challenges mentioned, an ontology system for weather information management is constructed using IoT middleware MinT. Based on weather ontology, it is possible to efficiently and easily manage large amounts of weather sensing data by applying ontology in the Internet of Things middleware. Moreover, since inference engine and rule-base information are used, semantic properties are applied to the sensing data collected. The implemented weather ontology uses sensing data and easily provides search results to users through a UI. The usability to search results is selected as the metric for performance evaluation. In the experiments, the proposed weather ontology system exhibited high usability to search results.