In this paper, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers according to the Computer Science Ontology (CSO), a comprehensive ontology of research areas in the field of Computer Science.
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)...
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 SEMANTiCS...