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Francesco OsborneMember status icon

Research Fellow
Francesco Osborne Photograph

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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

View all 27 Articles


Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details  

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

Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details  

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)

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Knowledge Media Institute
The Open University
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Milton Keynes
United Kingdom

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