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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...
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