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, Fine-tuning, Out-of-Distribution Detection, Deep Reinforcement […]
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, automatically generate literature […]
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 […]
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 […]
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. 1. Introduction The Computer Science Ontology (CSO) is a comprehensive ontology of research areas […]
KMi is delighted to showcase its influential participation at SEMANTiCS 2024. Dr. Angelo Salatino and Dr. Francesco Osborne were actively involved in organizing the conference, a process that spanned the past eight months. This year, SEMANTiCS celebrated its twentieth anniversary, taking place from 17th to 19th September in Amsterdam, at the stunning Meervaart theatre. The […]
On 12th September, the LISBibliometrics conference, an established gathering for Bibliometrics and Scientometrics practitioners, was held at the University of Brighton. The theme “Exploring the Bibliometric Universe” focused on diverse topics including research culture measurement, indicators, AI methodologies, research integrity, and addressing societal issues using bibliometrics. Dr Angelo Salatino was invited to speak on the […]
Exciting news! Our new survey paper about AI tools for literature reviews was published by Artificial Intelligence Review. The paper presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving […]
The field of Artificial Intelligence is rapidly evolving, and to stay ahead of the curve on June 11th Dr. Salatino organized the GenAI & Amazon Bedrock Immersion Day at KMi. This one-day hands-on event, led by Amazon, explored the transformative capabilities of Generative AI (GenAI) and Amazon Bedrock. With 18 attendees joining us in person […]
Dr. Angelo Salatino, Dr. Francesco Osborne, and Prof. Motta recently participated the 2024 edition of the Extended Semantic Web Conference (ESWC), where they showcased their significant contributions to the field through various research papers. ESWC is a premier international conference focusing on semantic web technologies, artificial intelligence, and knowledge graphs. With a mission to connect […]
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...