Year: 2024
Type: conference-paper
Abstract: Geosciences have witnessed a revolution in data collection thanks to the Internet of Things (IoT), which has made it possible to monitor complex phenomena using sensor networks. However, developing web-centric, sensor-based, data warehousing information systems presents challenges because of their complexity and cost. This paper presents an intuitive low-code development system (called SensorPublisher), based on a software product line (SPL) and a domain-specific language (DSL), that speeds up the creation of data warehousing applications for geographic sensor data. SensorPublisher allows the geoscientist to define the sensor network, to generate a software product, and to deploy the product to a local or a remote server. Our tool seeks to encourage scientists to share the outcomes of their sensor data analysis projects with their communities by means of a simple, user-friendly and cost-effective approach. We showcase the system in different geoscientific domains, such as meteorological monitoring services, traffic data and air quality monitoring in urban areas, and marine area monitoring systems.
Institution: Universidade da Coruña
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4401454791