Building a Data Model for Portable Atmospheric Environment Measurement System
Soohyeon Chae, Jangwon Gim, Sukhoon Lee · 2020
In the Internet of Things environment, most observational data from sensors are stored and managed in a relational database as simple values, but it is difficult to detect the relationship between systems, sensors, and data. This paper builds a data model based on SOSA and SSN ontologies for a portable atmospheric environment measurement system which is our previous research. As a result, it is possible to explicitly express information about data structure and the relationships in system and sensor, properties, and observation regions. Therefore, it is possible to integrate the observed data of various sensors and systems through the proposed data model.