Il seminario si svolge lunedì 18 giugno, in modalità mista, presenza e streaming (vedi link in calce).
Il titolo del seminario è: Knowledge Graphs: embeddings, link prediction and explanation
Di seguito l'abstract. Knowledge Graphs (KGs) are data structures that integrate information into a network of entities and relations. They are essential for organizing and retrieving knowledge in various domains, from search engines to recommendation systems. In this seminar, we will introduce the fundamentals of KGs and examine some of the key challenges they present. In the first part, we will discuss methods to address their incompleteness, exploring methodologies for predicting missing links. In the second part, the seminar will delve into the emerging field of AI explanation, emphasizing its importance in enhancing the transparency and trustworthiness of KG embedding systems.
