In recent times, we have seen how the notion of smart cities has become trendy. That is, the incorporation of the latest advances in digitalization and information technologies to make life easier for people living in cities: Optimization of parking spaces, improvement in the management of solid urban waste, improvements in lighting and energy consumption, etc. However, all these advances seem to have left the rural areas aside.

The basic idea of distributional semantics can be summarized in the so-called distributional hypothesis: "linguistic elements with similar distributions have similar meanings". This means that words with similar distributions are close to each other semantically. In this way, semantic similarity can be easily calculated.

Our research center is a research and technology organization with strong research capabilities in data mining processes, knowledge graphs, relational machine learning, and symbolic regression. We can address the AI methodology which covers all the methods considered within any kind of project as is the Knowledge Graph, Workflow Modelling, as well as Machine Learning. Besides, we can also contribute to the development of the software and integration technologies, which envisages competencies related to integration platforms, and the integrated tools that will lead to decision support tools.