How can computers understand culture?

The proposed activity is grounded in Digital Humanities, an interdisciplinary field combining the Humanities and Computer Science. The aim of the activity is to make the students understand a complex concept related to the AI field through a game: how can the computer understand the meaning of complex concepts, such as the ones in the Humanities area, without the need of millions of data (as Large Language Models do)? For example, how can a computer understand how a family is organized? One approach is the Semantic Web, introduced by the inventor of the World Wide Web to better structure information, and later developed into large- scale knowledge graphs.
The session includes a 10-minute introduction and a 25-minute group activity. Students will work in small groups using magnets to build semantic networks based on given topics. The instructor will provide feedback throughout. In the final 10 minutes, each group will briefly present their results. The working language is English.