Member
Francesco Osborne
Research Fellow
+44 (0)1908 332948
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
News
27 Apr 2021
08 Mar 2021
23 Feb 2021
11 Jan 2021
29 Oct 2020
Publications
Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2021) AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs, The International Semantic Web Conference, Online
Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2021) Assessing Scientific Conferences through Knowledge Graphs, Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, Virtual, Online
Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Kravchenko, A., Angioni, S., Salatino, A.A., Recupero, D., Motta, E. and Lehmann, J. (2021) Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain, IEEE Access, 9, pp. 116002-116014
Salatino, A.A., Osborne, F. and Motta, E. (2021) CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics, International Journal on Digital Libraries, pp. (Early Access)
Danilo, D., Osborne, F., Recupero, D., Buscaldi, D. and Motta, E. (2021) Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain, Future Generation Computer Systems, 116, pp. 253-264
