The SKM³ team is proud to announce that the paper “Geographical trends in research: a preliminary analysis on authors’ affiliations” presented by Andrea at the workshop on Semantics, Analytics, Visualisation: Enhancing Scholarly Dissemination (SAVE-SD) held at The Web Conference 2018 in Lyon has been awarded the Best Paper Award. We thank the organising committee and Springer […]
Couple of months ago, the SKM3 attended the Springer Nature HackDay (here is the post). Just not long ago, Springer Nature released a short video featuring us. Summarised is also Angelo’s interview, in which he discusses the advantages of making scholarly datasets, as SciGraph, available to the public.
After the great success of the past three editions, we are pleased to announce the SAVE-SD 2018 workshop. SAVE-SD aims to bring together publishers, companies and researchers from different fields (including Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, Human-Computer Interaction, Information Visualisation, Bioinformatics, and Life Sciences) in order to bridge the […]
Great news for our team! A paper authored by Angelo A. Salatino, Francesco Osborne and Enrico Motta, published last June to PeerJ Computer Science journal, was one of the top 5 most viewed in the areas of Artificial Intelligence, Data Science and Digital Libraries. The paper entitled “How are topics born? Understanding the research dynamics preceding the emergence of new areas” is a […]
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 […]
The Rexplore team and Springer Nature have launched a new research project with the aim of developing new innovative solutions to support business processes in Springer Nature. This new initiative builds on our previous collaborations which focus on two research directions. The first one is Smart Topic Miner, a web application which uses semantic web […]
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 […]
On 20 May 2025, Dr. Angelo Salatino was invited to give a webinar to the ISKO UK Meetup about our recenly published survey "A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges". ISKO UK Meetups are known for bringing together academics and practitioners to explore a wide range of practical and technology-oriented topics related to knowledge organization...
The Stanford Institute for Human-Centered AI published its 2025 AI Index report this week, providing a comprehensive look at the global state of Artificial Intelligence (AI). The report, now in its eighth edition, tracks and visualises data on technical performance, economic impact, education, policy, and responsible AI to offer an empirical foundation for understanding the field's rapid...
The SKM3 team, in collaboration with researchers at Stanford University (CA), has released version 3.4.1 of the Computer Science Ontology. This version significantly expands its coverage of Artificial Intelligence, adding about 100 new topics, including Generative AI, Large Language Models, Retrieval Augmented Generation, Generative Adversarial Networks, Prompt Engineering, Zero-Shot Learning,...
Our research leverages the combined capabilities of Artificial Intelligence (AI) and Scientific Knowledge Graphs (SKGs). These graphs provide a way to structure and represent scientific information, enabling AI to analyse complex research concepts. Their combination facilitates us in developing novel approaches and large-scale tools to analyse trends, explore research data and metadata,...
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