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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...
Abstract Since their release, both the Computer Science Ontology and the CSO Classifier have received growing attention. They are being employed within several applications and proved to effectively support a wide range of tasks, including trend analysis, enhancing metadata, and assessing impact. Read this article in PDF 1. Introduction The Computer Science Ontology (CSO)...
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