angelosalatino

Dr. Angelo Salatino is a Research Fellow at The Open University who develops AI solutions to analyse scholarly data. He has created several systems used by publishers and research organisations, including the Computer Science Ontology and Augur, a tool for detecting emerging research topics. His current research explores how Large Language Models can be used to analyse scientific knowledge, particularly by enhancing them with domain-specific knowledge.

ISWC under the Nature Navigator lens

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The International Semantic Web Conference (ISWC) is a leading annual event that brings together researchers, practitioners, and industry leaders in semantic web technologies. The conference promotes collaboration and knowledge exchange, focusing on innovative approaches to data interoperability, knowledge representation, and intelligent information retrieval. Participants discuss the development and application of semantic web standards, tools, and … Read more

Artificial Intelligence Index Report 2025

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The Stanford Institute for Human-Centered AI published its 2025 AI Index report  this week, providing a comprehensive look at the global state of Artificial Intelligence (AI). The report, now in its eighth edition, tracks and visualises data on technical performance, economic impact, education, policy, and responsible AI to offer an empirical foundation for understanding the … Read more

A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges

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“A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges” is a journal paper published that the Quantitative Science Studies journal. Angelo Salatino, Tanay Aggarwal, Andrea Mannocci, Francesco Osborne, Enrico Motta Knowledge Media Institute, The Open University, Milton Keynes (UK) ISTI, National Research Council, Institute of Information Science and Technologies “Alessandro Faedo”, Pisa, (IT) … Read more

Multiplying Nines

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Around four years ago, I saw an interesting post by Prof. Vincenzo Giordano about numerical curiosities. It showed how we can quickly multiply two equal numbers containing only 9s. Such as 9*9, 99*99, 999*999 and so forth. The picture below shows some examples with a general rule on how to get to the result of … Read more

Computer Science Ontology v3.4.1

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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, Zero-Shot Learning, Fine-tuning, Prompt Engineering, Out-of-Distribution Detection, Deep Reinforcement … Read more

Guide for creating Companion Proceeding at CEUR.WS

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This document aims to streamline the creation of conference companion proceedings to be published on CEUR.WS. This is typically a time-consuming and labor-intensive task, but with careful management and leadership, we believe we can significantly reduce the effort required. In this document, we will first describe what is a companion proceeding and how it is … Read more

SKM3 Research

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My team’s 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 … Read more

Vademecum for Succeeding your TMA

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This document is meant to help my students from the M269 (Algorithms, data structures and computability) module in succeeding their TMAs, and completing the module. It contains a few notes drawn from my past experiences in marking TMAs and tips to achieve higher scores. Nonetheless, students from other modules, and other universities, can also use … Read more

CEUR-WS Policy on AI-Assisting Tools

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Effective January 1, 2025, CEUR-WS will adopt a new policy about using Generative AI in papers. This policy mandates that authors: i) declare the use of GenAI tools in the paper, ii) review and edit any AI-generated content, and iii) not list AI tools as authors.   I led its development, in collaboration with Fabrizio … Read more