Building a Data Model for Portable Atmospheric Environment Measurement System

Soohyeon Chae, Jangwon Gim, Sukhoon Lee
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Abstract

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.
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便携式大气环境测量系统数据模型的建立
在物联网环境下,传感器的观测数据大多以简单值的形式存储和管理在关系数据库中,难以检测系统、传感器和数据之间的关系。本文建立了基于SOSA本体和SSN本体的便携式大气环境测量系统数据模型。因此,可以显式地表达有关数据结构的信息以及系统与传感器、属性和观测区域之间的关系。因此,可以通过提出的数据模型整合各种传感器和系统的观测数据。
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