We tackled the fundamental heterogeneity of the cultural heritage data by structuring the knowledge available from user experience using machine learning. We designed new methodologies to extract and produce new information and attempted to make new sense of cultural heritage by connecting and creating narratives with methods based on network theory and artificial intelligence.
Publications about maps of Social Interactions across ages
Publication about AI algorithm for the automatic classification of documents
This Humane-AI-Net micro-project was carried out by Consiglio Nazionale delle Ricerche (CNR, Guido Caldarelli), Università di Pisa (UNIPI, Dino Pedreschi) and German Research Centre for Artificial Intelligence (DFKI, Paul Lukowitz).