Personal Information
Unternehmen/Arbeitsplatz
Milton Keynes, United Kingdom United Kingdom
Beruf
Research Fellow at KMi, The Open University
Branche
Education
Webseite
people.kmi.open.ac.uk/francesco/
Info
I am Research Fellow at the Knowledge Media institute of the Open University in Milton Keynes, UK, where I lead the Research Analytics team. I was previously Research Associate at the same university. My research focuses on Semantic Web, Research Analytics, Data Mining, and Semantic Publishing.
The Research Analytics 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, ...
Tags
scholarly data
ontology learning
data mining
semantic web
bibliographic data
scholarly ontologies
ontology
topic model
conference proceedings
metadata
springer nature
publishing
semantic publishing
nlp
knowledge graph
topic detection
scientific research
machine learning
forecasting
technology
classification.
ontology forecasting
linked data
community detection
trend detection
pattern recognition
change detection
recommender systems
user modelling
community-based ontologies
ontology- based user modelling
sparql
bibliometric data
owl
rdf
research data
hierarchical clustering
bido
expert search
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Präsentationen
(10)Personal Information
Unternehmen/Arbeitsplatz
Milton Keynes, United Kingdom United Kingdom
Beruf
Research Fellow at KMi, The Open University
Branche
Education
Webseite
people.kmi.open.ac.uk/francesco/
Info
I am Research Fellow at the Knowledge Media institute of the Open University in Milton Keynes, UK, where I lead the Research Analytics team. I was previously Research Associate at the same university. My research focuses on Semantic Web, Research Analytics, Data Mining, and Semantic Publishing.
The Research Analytics 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, ...
Tags
scholarly data
ontology learning
data mining
semantic web
bibliographic data
scholarly ontologies
ontology
topic model
conference proceedings
metadata
springer nature
publishing
semantic publishing
nlp
knowledge graph
topic detection
scientific research
machine learning
forecasting
technology
classification.
ontology forecasting
linked data
community detection
trend detection
pattern recognition
change detection
recommender systems
user modelling
community-based ontologies
ontology- based user modelling
sparql
bibliometric data
owl
rdf
research data
hierarchical clustering
bido
expert search
Mehr anzeigen