We are pleased to announce that we recently created a new release of the CSO Classifier (v2.1), an application for automatically classifying research papers according to the Computer Science Ontology (CSO). Recently, we have been intensively working on improving its scalability, removing all its bottlenecks and making sure it could be run on large corpus. […]
Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this page, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according […]
The ACM/IEEE Joint Conference on Digital Libraries in 2018 (JCDL 2018) took place last week in Fort Worth (Texas). Angelo attended the conference to discuss his recent advances showed in the research paper “AUGUR: Forecasting the Emergence of New Research Topics”. In brief, Augur is a framework analysing the diachronic relationships between research areas and […]
On 26-27 April 2018, Angelo and Francesco attended the third edition of the Springer Nature Hack Day, which was held in its headquarter in Berlin. The Springer Nature Hack Day is an event that allows researchers, developers, tech companies, and Springer Nature itself, to gather together and tackle current research issues. Offering also opportunities for potential […]
On the 29th November 2017, Angelo, Andrea and Thiviyan attended the second edition of SpringerNature HackDay in London (@ SpringerNature Campus). Aliaksandr Birukou, Executive Editor of Computer Science at Springer Nature and collaborator of our research team at the Knowledge Media Institute, also joined our group on the HackDay. The whole event aimed at joining together the […]
On the 29th November 2017, the SKM3 team attended the second edition of SpringerNature HackDay in London (@ SpringerNature Campus). Aliaksandr Birukou, Executive Editor of Computer Science at Springer Nature and collaborator of our research team at the Knowledge Media Institute, also joined Andrea, Thiviyan and Angelo on the HackDay. The whole event aimed at joining together the […]
“How are topics born? Understanding the research dynamics preceding the emergence of new areas” is a peer-reviewed paper submitted to PeerJ Computer Science. The paper has been submitted in July 2016 and accepted in May 2017. All the co-authors are thankful to the reviewers and the editor for providing insightful comments and thus improving the […]
On the 8th February, Angelo delivered a seminar to the KMi in which he described the work he has been doing in the last two years for his postgraduate research. He started with a little bit of introduction about science. Shortly, he moved to the currently available technologies for keeping track of the development of the different […]
After the success of the past two editions, the third edition of the Semantics, Analytics, Visualisation: Enhancing Scholarly Data workshop (SAVE-SD) has been recently announced. SAVE-SD aims to bring together publishers, companies and researchers from different fields to bridge the gap between the theoretical and practical aspects in regards to scholarly data. The workshop was […]
Last week Francesco Osborne presented two research papers of our team at the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) in Bologna, Italy. The first one introduces TechMiner, a novel tool which combines NLP, machine learning and semantic technologies, for mining technologies from research publications and generating an OWL ontology describing […]
Scholarly Knowledge Mining
Digital Humanities
Data Science
Smart Cities and Robotics
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