A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

Member

Francesco OsborneMember status icon

Senior Research Fellow
Francesco Osborne Photograph

Telephone Icon +44 (0)1908 332948

Website Icon Camera Icon RDF Icon

Twitter Icon LinkedIn Icon SlideShare Icon

I am Senior 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 a hundred peer-reviewed publications in top journals and conferences in my research areas, including the Semantic Web Journal, Neurocomputing, Future Generation Computer Systems, the International Journal of Human-Computer Studies, ISWC, ESWC, WebConf, JCDL, TPDL, and UMAP. I won several awards, including the Best In-Use Paper Award at the International Semantic Web Conference 2022, the Best Demo Award at the International Semantic Web Conference 2020, and the Semantic Publishing Award at European Semantic Web Conference 2014.

The SKM team aims to produce 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 several 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: Simone Angioni, , Enrico Motta, Angelo Antonio Salatino

News

03 Dec 2024


18 Nov 2024


20 Sep 2024


12 Jun 2024


26 Mar 2024

View all Articles

Publications

Publications | Visit External Site for Details  

Motta, E., Osborne, F., Pulici, M., Salatino, A. and Naja, I. (2024) Capturing the Viewpoint Dynamics in the News Domain, Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24), Amsterdam, Netherlands

Publications | Download PDF Publications | Visit External Site for Details  

Pisu, A., Pompianu, L., Salatino, A., Osborne, F., Riboni, D., Motta, E. and Recupero, D. (2024) Classifying Scientific Topic Relationships with SciBERT, Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024), Amsterdam

Publications | Visit External Site for Details  

Alam, M., Buscaldi, D., Cochez, M., Gesese, G., Osborne, F. and Recupero, D. (2024) Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG), KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain

Publications | Visit External Site for Details Publications | doi 

Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies, Information, 15

Publications | Visit External Site for Details Publications | doi 

Cadeddu, A., Chessa, A., Leo, V., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A. and Secchi, L. (2024) A comparative analysis of knowledge injection strategies for large language models in the scholarly domain, 133, Elsevier

View all 112 publications

Slideshare

View By

Research Themes

Latest Seminar
Prof Enrico Motta
KMi, The Open University

Using AI to capture representations of the political discourse in the news

Watch the live webcast

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team