Facilitating Semantic Data Interoperability and Integration for Citizen Science Sensor Data

Description

Citizen science data is potentially a valuable source of information. The data is heterogeneous in nature and becomes one of the biggest challenges in rendering information in a usable/reusable way. The project mainly focuses on addressing research issues like data interoperability and data integration to overcome the problem. This project is funded by Friedrich Schiller University Jena under the IMPULSE program.