in this activity we want by tackle the fundamental dishomogeneity of thecultural heritage data is by structuring the knowledge available from user experience and methods of machine learning. The overall objective of this microproject is to design new methodologies to extract and produce new information, as well as to propose scholars and practitioners new and even unexpected and surprising connections and knowledge and make new sense of cultural heritage by connecting and creating sense and narratives with methods based on network theory and artificial intelligence.


Database usable from the people in the Consortium as a pilot case

Paper on the topic


Project Partners:

  • Consiglio Nazionale delle Ricerche (CNR), Guido Caldarelli
  • Consiglio Nazionale delle Ricerche (CNR), Antonio Scala
  • Consiglio Nazionale delle Ricerche (CNR), Emilia La Nave

Primary Contact: Guido Caldarelli, CNR/ISC