On March 22, 2024, the AI for the Research Ecosystem workshop (#AI4RE) took place in London, kindly hosted by UCL in the wonderful surroundings of Chandler House. The workshop was part of the Turing Institue’s AI UK Fringe series of events which took place around the U.K. The workshop focused on the intersection of the […]
The 22nd International Semantic Web Conference (ISWC 2023), a leading global event for the Semantic Web and Knowledge Graph Community, has successfully wrapped up, marked by notable involvement from our team. In this year’s edition, Francesco Osborne acted as Senior Research Track PC and Angelo Salatino as Research Track PC. Francesco has also co-organised the […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 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,...
Last week, Francesco, Angelo, and Tanay attended the 23rd International Semantic Web Conference (ISWC) in Baltimore, Maryland. ISWC is the premier conference in the field of Semantic Web, known for its influence and presentation of the latest trends in the field. The main theme of the conference focused on integrating Knowledge Graphs and Large Language Models (LLMs), such as GraphRAG and...
On 1 October 2024, KMi’s Scholarly Knowledge Modelling (SKM) team welcomed Michael McCoubrey, who is starting his part-time doctoral research under the supervision of Dr Angelo Salatino, Dr Francesco Osborne, and Prof Enrico Motta. Michael will investigate novel solutions for automatic hypotheses generation using AI. As a Data Scientist at The Open University, Michael brings expertise in...