Francesco Osborne's profile document
Description for Francesco Osborne
Francesco Osborne
Francesco Osborne
Francesco
Osborne
Senior Research Fellow
FrancescoOsborne
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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The Open University account for Francesco Osborne
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Francesco Osborne's membership at KMi
Francesco Osborne on LinkedIn
Francesco Osborne on SlideShare
@FraOsborne (Francesco Osborne on Twitter)
Francesco Osborne's participation in Garden Monitor
Garden Monitor
Garden Monitor
Using data and Artificial Intelligence for efficient garden monitoring
Francesco Osborne's participation in MK:Smart
MK:Smart
MK:Smart
2014-01-01
2016-12-31
An innovation programme developing sustainable smart solutions for Milton Keynes
Francesco Osborne's participation in Smart Topic Miner
Smart Topic Miner
Smart Topic Miner
Classifying scholarly publications according to an ontology of research areas
The Smart Topic Miner (STM) is a novel application, developed in collaboration with Springer Nature, which classifies scholarly publications according to an automatically generated ontology of research areas. STM analyses in real-time a collection of publications and returns a description of the given corpus in terms of a taxonomy of research topics drawn from a large scholarly ontology and a set of Springer Nature Classification tags. This information is used for a variety of tasks such as: i) classifying proceedings in digital and physical libraries; ii) enhancing semantically the metadata associated with publications and consequently improving the discoverability of the proceedings in both the Springer digital library, SpringerLink, as well as third-party sites such as Amazon.com; iii) deciding where and when to market a specific book; and iv) detecting novel and promising research areas that may deserve more attention from the publisher.
Francesco Osborne's participation in Rexplore
Rexplore
Rexplore
2012-11-01
Exploring Research Data
Rexplore 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. In particular, Rexplore allows users:
To detect and make sense of important trends in research, such as, significant migrations of researchers from one area to another, the emergence of new topics, the evolution of communities within a particular area, and several others.
To identify a variety of interesting relations between researchers, e.g., recognizing authors who share similar research trajectories. These relations go well beyond the standard co-authorship links or relationships informed by social networks, which are commonly found in other systems.
To perform fine-grained expert search with respect to detailed multi-dimensional parameters.
To analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities identified on the basis of dynamic criteria.
An important aspect of Rexplore is that it does not rely on manually-generated taxonomies of research areas, which tend to be shallow and date very rapidly, but uses instead an innovative ontology population algorithm, Klink, which automatically constructs a semantic network of fine-grained research areas, linked by semantic relations, such as sameAs and subAreaOf. The use of Klink ensures a fine-grained handling of research areas and affords Rexplore a very high level of precision and recall in associating topics to publications and researchers.
Rexplore offers an advanced graphical interface, comprising a variety of innovative and fine grained visualizations, which support users in exploring authors, topics, and research communities. To support effective exploration, all graphical elements can be clicked on, thus enabling a seamless and contextualized navigation.
Francesco Osborne's participation in Smart Book Recommender
Smart Book Recommender
Smart Book Recommender
An ontology-based recommender system for books, journals, and conference proceedings
The Smart Book Recommender (SBR) is a ontology-based recommender system, developed in collaboration with Springer Nature, which suggests books, journals and conference proceedings that are likely to be relevant to the attendees of a given conference. It relies on a background knowledge of 27K books and 270 journals. Each editorial product is represented as a distribution of research topics drawn from the Computer Science Ontology, a large-scale automatically-generated ontology of research fields. In addition, SBR offers an advanced interface for visualizing and comparing the taxonomy of research areas associated with each item. This solution allows users to comprehend the rationale behind the recommendation and to gain a good understanding of the content of each editorial product.
Francesco Osborne's participation in Supporting Editorial Activities at Springer Nature
Supporting Editorial Activities at Springer Nature
Supporting Editorial Activities at Springer Nature
2018-05-01
2021-01-31
Supporting Editorial Activities at Springer Nature
The project aims at fostering Springer Nature editorial activities by supporting them with a variety of smart solutions leveraging artificial intelligence, data mining, and semantic technologies. In particular, the KMi team will support Springer Nature editorial team in classifying proceedings and other editorial products, taking informed decisions about their marketing strategy, and improve their internal classification.
The main objectives of the project are:
- Producing several analytics solutions for the analysis of big scholarly data.
- Automatically generating a large-scale ontology describing research topics in the field of Engineering.
- Enhancing the Smart Topics Miner, a tool developed to support the Springer Nature editorial team in classifying proceedings.
- Releasing the Computer Science Ontology, the largest ontology of research areas in the field of Computer Science, which currently includes about 15K topics and 70K semantic relationships.
Francesco Osborne's participation in Augur
Augur
Augur
2014-12-01
EARLY FORECASTING OF RESEARCH TRENDS
Augur is a novel approach to the early detection of research topics. Augur analyses the diachronic relationships between research areas and is able to detect clusters of topics that exhibit dynamics correlated with the emergence of new research topics.
Francesco Osborne's participation in Springer Nature Collaboration
Springer Nature Collaboration
Springer Nature Collaboration
Since 2014, the Scholarly Knowledge Modelling team in KMi has been collaborating with Springer Nature, working together to develop innovative solutions that both improve the state of the art in this area and are also shape new business solutions in Springer Nature. This partnership has produced dozens of publications, a variety of novel solutions, a REF Impact Case and has been recognised with numerous awards. A new contract was signed in December 2023, extending the partnership until the end of 2025.
Francesco Osborne's participation in AIDA Dashboard
AIDA Dashboard
AIDA Dashboard
2019-01-01
Assess Journals and Conferences at Springer Nature
Scientific conferences and journals play a crucial role by promoting the cross-pollination of ideas and technologies, fostering new collaborations, shaping scientific communities, and connecting research efforts from academia and industry. However, bibliometric systems and academic search engines provide a limited support for analysing scientific venues in similar fields, and to analyse the involvement of industrial sectors. This led to the creation of the AIDA Dashboard, an innovative tool for exploring and making sense of scientific venues which integrates statistical analysis, semantic technologies, and visual analytics.