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This document summarizes a proof of concept study that tested the ability to semantically integrate ecological data from different databases using the Socio-Ecological Research and Observation oNTOlogy (SERONTO). The study showed that SERONTO could successfully import database schemas and reference lists, map relations between database tables and SERONTO concepts, and allow complex queries across multiple connected databases from within SERONTO. However, maintaining mappings between reference lists and coupling value sets, units and calculations requires further work. Overall, the study demonstrated the feasibility of using SERONTO and semantic approaches to provide integrated access to distributed ecological data.
