The topics associated to the KMi publications listed in this page were automatically generated using the CSO Classifier, a solution developed by the SKM3 team in KMi. This technology has also been adopted by Springer Nature and is used routinely by them to generate automatically the metadata for all Computer Science conference proceedings they publish.
Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field. In: Workshop on LLM-driven Knowledge Graph and Ontology Engineering (llms4kgoe) 2026 co-located with ESWC 2026, 11 May 2026, Dubrovnik, Croatia. https://oro.open.ac.uk/112032/.
Ramzan, F., Salatino, A., Osborne, F., Reforgiato Recupero, D. and Motta, E. (2026). CSO Classifier 4. 0: Software for efficient ontology-based topic annotation in computer science. SoftwareX, 35 https://oro.open.ac.uk/111829/.
Fadda, M., Motta, E., Osborne, F., Reforgiato Recupero, D. and Salatino, A. (2026). Generating knowledge graphs from news articles via multi-agent claim extraction and attribution. Knowledge-Based Systems, 352 https://oro.open.ac.uk/111827/.
Fadda, M., Motta, E., Osborne, F., Reforgiato Recupero, D. and Salatino, A. (2026). Integrating Large Language Models and knowledge graphs to capture political viewpoints in news media. EPJ Data Science, 15(1), https://oro.open.ac.uk/111485/.
Bolanos Burgos, F., Salatino, A.A., Osborne, F. and Motta, E. (2026). Modelling and classifying the components of literature reviews: a novel annotation schema and evaluation of transformer models. PeerJ Computer Science, 12 https://oro.open.ac.uk/110897/.
Aggarwal, T., Salatino, A., Osborne, F. and Motta, E. (2026). Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study. ACM Transactions on Intelligent Systems and Technology, 17(5), https://oro.open.ac.uk/110795/.
Yu, L., Salatino, A. and Filgueira, R. (2026). Mapping Change: A Temporal and Semantic Knowledge Base of Scottish Gazetteers. In: Acosta, Maribel; van Erp, Marieke; Rudolph, Sebastian; Hartig, Olaf; Spahiu, Blerina and Rula, Anisa eds. The Semantic Web: 23rd European Semantic Web Conference, ESWC 2026, Dubrovnik, Croatia, May 10–14, 2026, Proceedings, Part II. Lecture Notes in Computer Science (16550). Springer, pp. 76–94. https://oro.open.ac.uk/110662/.
Salatino, A., Osborne, F., Recupero, D.R., Angioni, S. and Motta, E. (2026). Does Diversity of Expertise Drive Citation Impact? Evidence from Computer Science. Scientometrics, 131 pp. 1119–1146. https://oro.open.ac.uk/109014/.
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, 17(6), 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/.
