Semantic Data Europe 2025

Dr Angelo Salatino is a Research Fellow at The Open University who develops AI solutions to analyse scholarly data. He collaborates with Springer Nature to improve the classification and management of research content, and his main research areas include detecting emerging research trends and creating semantic technologies to organise scholarly knowledge. He has created several systems used by publishers and research organisations, including the Computer Science Ontology (CSO), currently the largest taxonomy of research topics in Computer Science; the CSO Classifier, which annotates research documents; and Augur, a tool for detecting emerging research topics. Recently, his research has focused on investigating how Large Language Models can support the analysis of scientific knowledge. He is particularly interested in exploring how these models can be enhanced with domain knowledge to understand scientific content better and support researchers and practitioners in their daily activities.