Tag Archives: News

SKM3 at STI 2023

This week STI 2023 – the 27th International Conference on Science, Technology and Innovation Indicators – took place. The Scientometrics community from all around the world gathered in Leiden, Netherlands, to discuss about improving scholarly evaluation practices in the light of cultural change. The conference was organised by CWTS (Leiden University) in collaboration with the […]

SKM3 at SEMANTiCS 2023

Last week, the Semantic Web Community gathered once again for another yearly top-notch event: the 19th International Conference on Semantic Systems; commonly known as SEMANTiCS 2023. The SEMANTiCS conference is a leading European conference focusing on Machine Learning, Data Science, Linked Data and Natural Language Processing. Over the years, SEMANTiCS has established itself as the […]

Alessia Pisu joins the SKM team

On 19 June 2023, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Alessia Pisu, a visiting PhD student from the University of Cagliari (IT). Over the next six months, Alessia will collaborate with Dr Francesco Osborne and Dr Angelo Salatino on developing a novel approach for the automatic generation of ontologies of research areas. Specifically, she […]

KMi Researchers Launch the AIDA Dashboard

In partnership with Springer Nature and the University of Cagliari, the Scholarly Knowledge Research Group at The Open University’s Knowledge Media Institute has developed the AIDA Dashboard, an innovative tool for exploring and making sense of the dynamics of research topics, scientific conferences and journals in Computer Science. These capabilities can be used to provide […]

Springer Nature and KMi extend their strategic collaboration until March 2022

KMi’s Scholarly Knowledge Mining team (SKM) and Springer Nature have formally agreed to extend their strategic collaboration agreement until March 2022. The new contract defines the latest chapter in a highly successful strategic partnership, which started back in 2014 and has since gone from strength to strength. During these years the SKM team has established itself has one of […]

Klink-2 among the top-cited ISWC papers in the past 5 years

We are extremely pleased to see that our paper about Klink-2 [1] is included in the list generated by Google Scholar (link), which presents the most cited papers published in the past 5 years at the International Semantic Web Conference (ISWC). This is the main international forum for showcasing the latest academic and industrial results […]

The CSO Classifier nominated for the Best Paper Award

Last week, Angelo was in Oslo for the 23rd edition of the International Conference on Theory and Practice of Digital Libraries (TPDL2019). Every year, this conference attracts many researchers from all over the world, working in the fields of digital libraries, information retrieval, text analysis, web archives, and many others. Angelo attended the conference to present […]

CSO-Classifier available on PIP

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 repository, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according […]

Angelo succeeds in his VIVA

Congratulations to Angelo Salatino for succeeding in his viva! On 31st May 2019, Angelo Salatino successfully defended his PhD thesis on Early Detection of Research Trends. The thesis is a body of research work over the last three years leading to a successful system that identifies the emergence of new research topics up to two […]

New release: CSO Classifier v2.1

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. […]