Integrating oceanographic sensor data using SSN/SOSA ontology

Abstract

As the deployment of ocean sensors continues to grow, there is a growing need for standardized ways to represent and integrate sensor data from different sources. One approach to achieving this is through the use of Semantic Sensor Network (SSN/SOSA) ontology, which provides a common vocabulary and framework for describing sensors, observations, and their properties. In this paper, we present a method for converting ocean sensor data in CSV format to Resource Description Framework (RDF) using RDFLib library for Phyton and SSN/SOSA ontology. The resulting RDF triples can be stored in a triplestore for querying and analysis, providing a standardized representation of ocean sensor data that can be easily integrated with other data sources.