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knowledge extraction |
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ontologies |
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Research Fellow |
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Senior Research Fellow |
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research overview |
I am Research Fellow at the Knowledge Media institute of the Open University in Milton
Keynes, UK, where I lead the SKM3 team. I was previously Research Associate at the
same university. My research focuses on Semantic Web, Research Analytics, Data Mining,
and Semantic Publishing.
The SKM3 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 major publishers,
universities, and companies in the space of innovation for producing a variety of
innovative services for supporting researchers, editors, and research polities makers.
More information about the SKM3 team at http://skm.kmi.open.ac.uk.
More information about my work at http://people.kmi.open.ac.uk/francesco. |
| 21e3abf33e3daaa89c07ea7d5da24bb0 |
research overview |
<p>My research focuses on Artificial Intelligence, Information Extraction, Knowledge
Graphs, Science of Science, Semantic Web, Research Analytics, and Semantic Publishing.
I have authored more than seventy peer-reviewed publications in top journals and conferences
in my areas of research, including the Semantic Web Journal, ISWC, ESWC, WebConf,
JCDL, TPDL, UMAP, Data Science, Data Intelligence, and the International Journal of
Human-Computer Studies. I won the best paper award at SAVE-SD 2018 and the 1st prize
at the Semantic Publishing Challenge at ESWC 2014.</p><p>I served as co-chair for
several high-tier scientific events. I am member of the Editorial Board of the Data
Intelligence Journal and in the program committees of all the main conferences relevant
to my research (e.g., ISWC, ESWC, WebConf, EKAW). </p><p> </p> |
| 21e3abf33e3daaa89c07ea7d5da24bb0 |
research overview |
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. |
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biography |
<p>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. I
was previously Research Associate at the same university. </p><p>The<a href="http://skm.kmi.open.ac.uk">SKM
team</a>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.</p><p> </p> |
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Dr Francesco Osborne |
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Francesco |
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Francesco |
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|
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name |
Francesco Osborne |
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http://skm.kmi.open.ac.uk/ |
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http://aida.kmi.open.ac.uk/ |
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http://cso.kmi.open.ac.uk/ |
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http://people.kmi.open.ac.uk/francesco/ |
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http://scholkg.kmi.open.ac.uk/ |
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Osborne curriculum OU 2020A.pdf |
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phone |
urn:tel:+44-(0)1908-32948 |
| 21e3abf33e3daaa89c07ea7d5da24bb0 |
title |
Dr |
| 21e3abf33e3daaa89c07ea7d5da24bb0 |
topic_interest |
information retrieval |
| 21e3abf33e3daaa89c07ea7d5da24bb0 |
topic_interest |
machine learning |
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topic_interest |
human-centred computing |
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topic_interest |
knowledge media |
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topic_interest |
digital libraries |
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topic_interest |
semantics and ontologies |
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topic_interest |
web science |
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weblog |
http://people.kmi.open.ac.uk/francesco/ |
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work info homepage |
francesco-osborne |
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fo444 |
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Description |
<p>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. I
was previously Research Associate at the same university. </p><p>The<a href="http://skm.kmi.open.ac.uk">SKM
team</a>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.</p><p> </p> |
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| authors |
_3 |
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| 71665 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_2 |
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| 71736 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_2 |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| 71829 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_15 |
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| 72231 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_4 |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| 72232 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_2 |
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| editors |
_2 |
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| editors |
_4 |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| 72293 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_3 |
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| 73305 |
Creator |
21e3abf33e3daaa89c07ea7d5da24bb0 |
| authors |
_2 |
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