Member
Francesco Osborne 
Research Fellow
+44 (0)1908 332948
I am a Research Fellow at the Knowledge Media institute (KMi) of the Open University in Milton Keynes, UK. My research focuses on Semantic Web, Semantic Publishing, User Modelling, Data Mining and Human Computer Interaction. Currently, I am working on the Rexplore project (http://technologies.kmi.open.ac.uk/rexplore/) and on the MKSmart project (http://www.mksmart.org/).
I am the main developer of Rexplore, a system which leverages novel solutions in large-scale data mining, semantic technologies and visual analytics, to provide an innovative environment for exploring and making sense of scholarly data.
For the MKSmart Project, I am working on the Garden Monitor, a mobile application which supports efficient water management in gardens (http://www.mksmart.org/gardenmonitor/).
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: Andrea Mannocci, Enrico Motta, Angelo Antonio Salatino, Thiviyan Thanapalasingam
News
13 Jan 2018
07 Dec 2017
03 Nov 2017
28 Oct 2016
29 Sep 2016
Publications
Salatino, A.A., Osborne, F. and Motta, E. (2018) AUGUR: Forecasting the Emergence of New Research Topics, Joint Conference on Digital Libraries 2018, Fort Worth, Texas
Mannocci, A., Osborne, F. and Motta, E. (2018) Geographical trends in research: a preliminary analysis on authors' affiliations, Workshop: SAVE-SD at The Web Conference, Lyon
Mannocci, A., Salatino, A.A., Osborne, F. and Motta, E. (2017) 2100 AI: Reflections on the mechanisation of scientific discovery, Workshop: Re-coding Black Mirror at The 16th International Semantic Web Conference (ISWC '17), Wien
Osborne, F., Mannocci, A. and Motta, E. (2017) Forecasting the Spreading of Technologies in Research Communities, K-CAP 2017, Austin, Texas, USA
Peroni, S., Osborne, F., Iorio, A., Nuzzolese, A., Poggi, F., Vitali, F. and Motta, E. (2017) Research Articles in Simplified HTML: a Web-first format for HTML-based scholarly articles, PeerJ Computer Science.
