Tag Archives: Scholarly Knowledge Mining

Tanay Aggarwal joins the SKM team

On 1 October 2023, Tanay Aggarwal joined our team, starting his doctoral research under the supervision of Dr Angelo Salatino, Dr Francesco Osborne, and Prof Enrico Motta. Tanay will investigate novel AI solutions for (semi)automatically generating ontologies of research topics. Tanay is not a new face to us, as he joined our team back in […]

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 […]

Francisco joins the SKM team

On 1 February 2023, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Francisco Bolaños Burgos, who is starting his doctoral research under the supervision of Dr Francesco Osborne, Dr Angelo Salatino and Prof Enrico Motta. Francisco will investigate new AI-powered solutions for the automatic generation of literature reviews. Francisco has a background in Natural Language Processing […]

AIDA Dashboard team wins Best In-use Paper Award at ISWC 2022

Members of KMi’s Scholarly Knowledge Modelling Research Group have been announced as winners of the In-Use Paper Award at the International Semantic Web Conference, which is the premiere scientific venue for the Semantic Web and Knowledge Graphs community. The award was given for the paper entitled Leveraging Knowledge Graph Technologies to Assess Journals and Conferences […]

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 […]

The Conference Dashboard

The Conference Dashboard (also known as AIDA Dashboard) is a tool for exploring and making sense of scientific conferences which integrates statistical analysis, semantic technologies, and visual analytics. The dashboard was developed in collaboration with Springer Nature for assisting editors in assessing conferences, but it also supports several other use cases. Compared to other state-of-the-art […]

ISWC2020 – Best Demo of the Day Award

Last November, at the 19th International Semantic Web Conference, we presented one of our latest research efforts: the AIDA Dashboard. The AIDA Dashboard, is a tool that we developed in collaboration with the University of Cagliari (IT), and by integrating statistical analysis, semantic technologies, and visual analytics techniques allows users to explore and make sense […]