Dr. Angelo Antonio Salatino
Research Associate
Dr. Angelo Salatino is a Research Associate at the Intelligence Systems and Data Science (ISDS) group, at the Knowledge Media Institute (KMi) of the Open University. He obtained a Ph.D., studying methods for the early detection of research trends. In particular, his project aimed at identifying the emergence of new research topics at their embryonic stage (i.e., before being recognised by the research community).
Currently, he is mainly working on: i) new technologies for classifying scientific papers according to their relevant research topics, and ii) how the research output of academia fosters innovation in the industry.
Research interests
His research interests are in the areas of Semantic Web, Network Science and Knowledge Discovery technologies, with focus on the structure and evolution of science: Science of Science
External collaborations
Angelo collaborates with a number of academic and industrial partners. In particular, he collaborates with Spinger Nature, the world's largest academic book publisher, as well as universities in Georgetown (USA), Trento (IT), Cagliari (IT), Oxford (UK), and FIZ Karlsruhe (DE).
Keywords
Semantic Web, Semantic Publishing, Data Mining, User Modelling, Knowledge Extraction, Ontologies, Scholarly Data.
Publications
Bolanos Burgos, Francisco, Salatino, Angelo, Osborne, Francesco and Motta, Enrico ,(2024). Artificial intelligence for literature reviews: opportunities and challenges. Artificial Intelligence Review, 57(9),
Cadeddu, Andrea, Chessa, Alessandro, De Leo, Vincenzo, Fenu, Gianni, Motta, Enrico, Osborne, Francesco, Recupero, Diego Reforgiato, Salatino, Angelo and Secchi, Luca ,(2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information, 15(7),
Balloccu, Simone, Podda, Alessandro Sebastian, Pompianu, Livio, Saia, Roberto and Salatino, Angelo Antonio ,(2024). HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. In: UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization, 1-4 Jul 2024, Cagliari, Italy.
Lehmann, Jens, Meloni, Antonello, Motta, Enrico, Osborne, Francesco, Recupero, Diego Reforgiato, Salatino, Angelo Antonio and Vahdati, Sahar ,(2024). Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. In: ESWC 2024, 26-30 May 2024, Hersonissos, Greece.
Angioni, Simone, Consoli, Sergio, Dessì, Danilo, Osborne, Francesco, Reforgiato Recupero, Diego and Salatino, Angelo ,(2024). Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. In: 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, SemTech4STLD 2024, 26 May 2024, Hersonissos.
Angioni, Simone, Consoli, Sergio, Dessì, Danilo, Osborne, Francesco, Reforgiato Recupero, Diego and Salatino, Angelo ,(2024). Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access, 12 pp. 77269â77283.
Salatino, Angelo Antonio, Bu, Yi, Ding, Ying, Horvát, Ãgnes, Huang, Yong, Liu, Meijun, Manghi, Paolo, Mannocci, Andrea, Osborne, Francesco, Romero, Daniel, Sacharidis, Dimitris, Teplitskiy, Misha, Vergoulis, Thanasis, Xia, Feng and Zhai, Yujia ,(2023). 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). In: WWW '23: The ACM Web Conference 2023, 30 Apr - 04 May 2023, Austin TX USA.
Cadeddu, Andrea, Chessa, Alessandro, De Leo, Vincenzo, Fenu, Gianni, Motta, Enrico, Osborne, Francesco, Reforgiato Recupero, Diego, Salatino, Angelo and Secchi, Luca ,(2024). A comparative analysis of knowledge injection strategies for large language models in the scholarly domain. Engineering Applications of Artificial Intelligence, 133
Cadeddu, Andrea, Chessa, Alessandro, De Leo, Vincenzo, Fenu, Gianni, Motta, Enrico, Osborne, Francesco, Recupero, Diego Reforgiato, Salatino, Angelo and Secchi, Luca ,(2023). Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models. In: Deep Learning for Knowledge Graphs 2023, 6 Nov 2023, Athens.
Cadeddu, Andrea, Chessa, Alessandro, De Leo, Vincenzo, Fenu, Gianni, Motta, Enrico, Osborne, Francesco, Reforgiato Recupero, Diego, Salatino, Angelo and Secchi, Luca ,(2023). Leveraging Knowledge Graphs with Large Language Models for Classification Tasks in the Tourism Domain. In: Deep Learning for Knowledge Graphs 2023, 6-10 Nov 2023, Athens.
