Semantic approach for tagging anthropogenic impacts of multidomain data resources - case study of TaToo tools

Abstract

The synthesis of existing Persistent Organic Pollutants pollution monitoring databases with epidemiological data is considered for identifying some impacts of Persistent Organic Pollutants on human health. This task requires new, rich, data, services and models discovery capabilities from a multitude of monitoring networks and web resources. The FP7 project TaToo (Tagging Tool based on a Semantic Discovery Framework) is setting up a semantic web solution to close the discovery gap that prevents a full and easy access to web resources. The use of TaToo tools together with the Global Environmental Assessment and Information System and the System for Visualizing of Oncological Data is discussed as TaToo validation scenario for anthropogenic impact and global climate change influence on Persistent Organic Pollutants trajectory.