Member
Angelo Antonio Salatino
Research Fellow
+44 (0)1908 653932
Dr. Angelo Salatino is a Research Fellow at the Scholarly Knowledge (SKM) 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).
He is currently working on several projects, including: i) new technologies for classifying scientific papers according to their relevant research topics, ii) automatic development of ontologies of research areas, iii) novel tools for assessing the research landscape.
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 Cagliari (IT), Trento (IT), Universidad Carlos III de Madrid (ES), and Dresden (DE).
Keys: Semantic Web, Semantic Publishing, Data Mining, User Modelling, Knowledge Extraction, Ontologies, Scholarly Data.
Team: Tanay Aggarwal, Simone Angioni, , Enrico Motta, Francesco Osborne
News
27 Nov 2025
12 Nov 2025
09 Oct 2025
25 Sep 2025
08 Sep 2025
Publications
Cadeddu, A., Chessa, A., De Leo, V., Fenu, G., Motta, E., Osborne, F., Reforgiato Recupero, D., Salatino, A. and Secchi, L. (2025). A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals. IEEE Access, 13 pp. 175271–175291. https://oro.open.ac.uk/106905/.
Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Large language models for scholarly ontology generation: An extensive analysis in the engineering field. Information Processing & Management, 63(1), https://oro.open.ac.uk/105868/.
Meloni, A., Reforgiato Recupero, D., Osborne, F., Salatino, A.A., Motta, E., Vahadati, S. and Lehmann, J. (2025). Exploring Large Language Models for Scientific Question Answering via Natural Language to SPARQL Translation. ACM Transactions on Intelligent Systems and Technology (Early access). https://oro.open.ac.uk/105679/.
Fernandez, M., Morales Tirado, A.C., Pavon-Perez, A., Duddin, K., Zhang, M., Bakina, K., Bandara, A., Capdevila, R., Lazard, L. and Jurasz, O. (2025). Co-creating an Ontology of Online Gender-Based Harms: An Interdisciplinary Perspective. In: ISWC 2025 - The 24th International Semantic Web Conference, 02-06 Nov 2025, Nara, Japan. https://oro.open.ac.uk/105569/.
Cadeddu, A., Chessa, A., De Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D.R., Salatino, A. and Secchi, L. (2025). Benchmarking Large Language Models for Sustainable Development Goals Classification: Evaluating In-Context Learning and Fine-Tuning Strategies. In: 3rd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data (SemTech4STLD 2025), 01 Jun 2025, Portoroz, Slovenia. https://oro.open.ac.uk/105343/.
Allocca, C., Antonini, A., Pala, R., Salatino, A., Naja, I., Ail, R., Haleem, M.S., Lopez-Perez, L., Gaeta, E., Pecchia, L. and Fico, G. (2025). Knowledge Graph Construction for Health, Lifestyle and Fitness Applications. In: Curry, Edward; Acosta, Maribel; Poveda-Villalón, Maria; van Erp, Marieke; Ojo, Adegboyega; Hose, Katja; Shimizu, Cogan and Lisena, Pasquale eds. The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1–5, 2025, Proceedings, Part II. Lecture Notes in Computer Science (LNCS), 15719. Cham, CH: Springer, pp. 102–122. https://oro.open.ac.uk/104945/.
Motta, E., Daga, E., Gangemi, A., Gjelsvik, M.L., Osborne, F. and Salatino, A. (2025). The Epistemology of Fine-Grained News Classification. Semantic Web, 16(3), https://oro.open.ac.uk/104622/.
Meloni, A., Recupero, D.R., Osborne, F., Salatino, A., Motta, E., Vahadati, S. and Lehmann, J. (2025). Assessing Large Language Models for SPARQL Query Generation in Scientific Question Answering. In: ISWC 2024 Special Session on Harmonising Generative AI and Semantic Web Technologies,, 13 Nov 2024, Baltimore, Maryland, USA. https://oro.open.ac.uk/104247/.
Salatino, A., Aggarwal, T., Mannocci, A., Osborne, F. and Motta, E. (2025). A survey of knowledge organization systems of research fields: Resources and challenges. Quantitative Science Studies, 6 pp. 567–610. https://oro.open.ac.uk/103702/.
Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2024). Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting. In: 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, Sci-K 2024, 12 Nov 2024, Baltimore. https://oro.open.ac.uk/101266/.
Motta, E., Osborne, F., Pulici, M.M., Salatino, A. and Naja, I. (2024). Capturing the Viewpoint Dynamics in the News Domain. In: Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24), 26-28 Nov 2024, Amsterdam, Netherlands. https://oro.open.ac.uk/100046/.
Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Reforgiato Recupero, D. (2024). Classifying Scientific Topic Relationships with SciBERT. In: Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), 17-19 Sep 2024, Amsterdam. https://oro.open.ac.uk/100269/.
Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D.R. (2024). Leveraging Language Models for Generating Ontologies of Research Topics. In: Text2KG 2024: International Workshop on Knowledge Graph Generation from Text, 28 May 2024, Hersonissos, Crete, Greece. https://oro.open.ac.uk/99938/.
Bolanos Burgos, F., Salatino, A., Osborne, F. and Motta, E. (2024). Artificial intelligence for literature reviews: opportunities and challenges. Artificial Intelligence Review, 57(9), https://oro.open.ac.uk/99294/.
Cadeddu, A., Chessa, A., De Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D.R., Salatino, A. and Secchi, L. (2024). Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Information, 15(7), https://oro.open.ac.uk/98107/.
Balloccu, S., Podda, A.S., Pompianu, L., Saia, R. and Salatino, A.A. (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. https://oro.open.ac.uk/98590/.
Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D.R., Salatino, A.A. and Vahdati, S. (2024). Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. In: ESWC 2024, 26-30 May 2024, Hersonissos, Greece. https://oro.open.ac.uk/98409/.
Angioni, S., Consoli, S., Dessì, D., Osborne, F., Reforgiato Recupero, D. and Salatino, A. (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. https://oro.open.ac.uk/98359/.
Angioni, S., Consoli, S., Dessì, D., Osborne, F., Reforgiato Recupero, D. and Salatino, A. (2024). Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access, 12 pp. 77269–77283. https://oro.open.ac.uk/97969/.
Salatino, A.A., Bu, Y., Ding, Y., Horvát, Á., Huang, Y., Liu, M., Manghi, P., Mannocci, A., Osborne, F., Romero, D., Sacharidis, D., Teplitskiy, M., Vergoulis, T., Xia, F. and Zhai, Y. (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. https://oro.open.ac.uk/96288/.
Tech Reports
Early Detection and Forecasting of Research Trends
Techreport ID: kmi-15-02
Date: 2015
Author(s): Angelo Antonio Salatino
