Francesco OsborneResearch Fellow
I am Research Fellow at the Knowledge Media institute of the Open University in Milton Keynes, UK, where I lead the Scholarly Knowledge Mining (SKM) team. My research covers Artificial Intelligence, Information Extraction, Knowledge Graphs, Science of Science, Semantic Web, Research Analytics, and Semantic Publishing. I have authored more than eighty peer-reviewed publications in top journals and conferences in my research areas, including the Semantic Web Journal, ISWC, ESWC, WebConf, JCDL, TPDL, UMAP, Data Science, Data Intelligence, and the International Journal of Human-Computer Studies.
The SKM team aims at producing innovative approaches leveraging large-scale data mining, semantic technologies, machine learning and visual analytics for making sense of scholarly data and forecast research dynamics. We collaborate with a number of commercial organizations (e.g., Springer Nature, Elsevier, Microsoft, Digital Science, Figshare), non-profit organizations, and universities.
More information about the SKM team at http://skm.kmi.open.ac.uk.
More information about my work at http://people.kmi.open.ac.uk/francesco.
Keys: Semantic Web, Semantic Publishing, Data Mining, User Modelling, Knowledge Extraction, Ontologies, Scholarly Data.
Team: Enrico Motta
28 Oct 2022
24 Oct 2022
01 Sep 2022
27 Apr 2021
08 Mar 2021
Bongini, P., Osborne, F., Pedrazzoli, A. and Rossolini, M. (2022) A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?, Technological Forecasting and Social Change, 184
Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China
Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science, ISWC, Online
Dessí, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2022) SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain, Knowledge-Based Systems, Elsevier
Manghi, P., Mannocci, A., Osborne, F., Sacharidis, D., Salatino, A.A. and Vergoulis, T. (2022) Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, WWW '22: The ACM Web Conference 2022, Lyon, France (Virtual)