Knowledge Graphs Embeddings for Link Prediction in the Context of Sustainability

The use of a large amount of heterogeneous, interconnected and quality data is nowadays essential to address challenges related to the development of solutions for “complex systems”. In this paper, we propose a framework for building a collaborative platform that can support the System Dynamics experts in identifying new partnerships and innovative solutions. To this end, we use a Knowledge Graph approach that can track the links among stakeholders and store their metadata. It is charge of leveraging ML methodologies and models for data analysis as well as the prediction of connections among stakeholders and potential work tables to facilitate the achievement of the SDGs in specific contexts.