Towards a Model-Driven Development of Environmental-Aware Web Augmenters Based on Open Data.

In order to achieve the SDGs (Sustainable Development Goals), society must be able to consume open data to be aware of environmental situations. However, the existence of many related heterogeneous open data sets hampers citizens to use them to rise environmental awareness. In order to overcome this scenario, in this paper, we introduce a model-driven approach to automatically generate Web Augmenters that (i) homogeneously access environmental open data, and (ii) visualize this data while users are surfing the Web. In order to show the feasibility of our approach a case study is defined, based on generating a Web Augmenter that uses open data and Wikipedia related to “Mar Menor” coastal lagoon; a highly anthropized ecosystem located in South-East Spain.