Knowledge Flow
Follow the flow of events in history
Human History is composed of a continuous flow of events. Each of them can impact subsequent events and contribute to the evolution of human knowledge.
kFLOW is a research project aiming to propose strategies for representing, extracting, predicting and using the information about event relationships and knowledge evolution. For achieving these goals, we are realising a Knowledge Graph of interconnected events and facts, developing specialised strategies for:
- data modelling
- information extraction
- link prediction
- incorrect triple detection and automatic fact-checking
CausalSense: Leveraging Common Sense Knowledge and LLMs for Joint Event Extraction and Relation Classification
May 11, 2026
Can a machine distinguish between what causes an event and what merely makes it possible?
Integrating Causal Reasoning into Automated Fact-Checking
March 23, 2026
Fact-checking is more useful when it can explain the chain of events behind a verdict.