OSBORNE FRANCESCO NICOLO'

Role
Associate professor  
Academic disciplines
Information Processing Systems (IINF-05/A)
Scientific-Disciplinary Group:
INFORMATION PROCESSING SYSTEMS (09/IINF-05)
Office phone
Room:
  • U07, Floor: 3, Room: 3010L

Research

My primary research interests cover Artificial Intelligence, Natural Language Processing, Knowledge Graphs, and Metascience. Application domains include scientific research, media analysis, sustainability, finance, robotics, big data, tourism, and astronomy.
I have authored over 150 peer-reviewed publications in leading journals and conferences, and coordinate several high-impact projects funded by renowned public institutions (e.g., UKRI, STFC, ERC) and private enterprises (e.g., Springer Nature, Elsevier).

For more information: https://www.francescoosborne.net

Publications

  • Peng, C., Xia, F., Naseriparsa, M., Osborne, F. (2023). Knowledge Graphs: Opportunities and Challenges. ARTIFICIAL INTELLIGENCE REVIEW, 56, 13071-13102 [10.1007/s10462-023-10465-9]. Detail

  • Meloni, A., Angioni, S., Salatino, A., Osborne, F., Reforgiato Recupero, D., Motta, E. (2023). Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. IEEE ACCESS, 11, 22468-22489 [10.1109/ACCESS.2023.3253388]. Detail

  • Chessa, A., Fenu, G., Motta, E., Osborne, F., Reforgiato Recupero, D., Salatino, A., et al. (2023). Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE ACCESS, 11, 67567-67599 [10.1109/ACCESS.2023.3292153]. Detail

  • Salatino, A., Angioni, S., Osborne, F., Reforgiato Recupero, D., Motta, E. (2023). Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science. Intervento presentato a: 27th International Conference on Science, Technology and Innovation Indicators (STI2023), Leiden,Netherlands [10.48550/arXiv.2306.15344]. Detail

  • Bongini, P., Osborne, F., Pedrazzoli, A., 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(November 2022) [10.1016/j.techfore.2022.122005]. Detail

Awards

Awards

  • Best Paper Award alla International Conference on Knowledge Engineering and Knowledge Management 2024, International Conference on Knowledge Engineering and Knowledge Management 2024, 2024
  • AI 2000 Most Influential Scholar Annual List - Top 20 in Knowledge Engineering - 2023, AMiner, 2023
  • Best In-Use Paper Award alla International Semantic Web Conference 2022, International Semantic Web Conference 2022, 2022

Research and teaching assignments

  • Ricercatore universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2024 - 2025
  • Ricercatore universitario a t.d. - Università degli Studi di MILANO-BICOCCA, 2022 - 2024

Further links