75 citations · 215 across the 24 of their papers we have counts for
13 papers · 1 filter
Scoring Grant Applications with Large Language Models
Mike Thelwall, David Pride, Francesco Osborne +4
Purpose: Assessing grant applications is time-consuming and difficult, adding to the overall burden of academic peer review. Whilst funders are exploring whether AI can help, there…
COCI: Conference Organisers and Content Identifier
Angelo Salatino, Francesco Osborne, Alexis Vizcaino +2
Despite the critical role of grey literature in scholarly communication, artefacts such as Calls for Papers (CfPs) remain largely isolated from modern Scholarly Knowledge Graphs. T…
A Pathway for Assessing Grey Literature: Leveraging AI to Extract Conference Metadata and Organiser Information from Calls for Papers
Angelo Salatino, Francesco Osborne, Alexis Vizcaino +2
Despite its importance, grey literature, including Calls for Papers (CfPs), remains largely overlooked in Metascience and Scientometric analysis due to its unstructured, highly het…
Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field
Tanay Aggarwal, Angelo Salatino, Francesco Osborne +1
Knowledge Organization Systems like Ontologies and taxonomies are fundamental for structuring scientific knowledge, yet their manual curation presents a persistent bottleneck in kn…
Research Entity Extraction and Topic Detection from UKRI Grant Proposals
Xingran Ruan, Angelo Salatino, Rosa Filgueira +4
This paper presents preliminary findings from a UKRI-funded Metascience project comparing three LLM-based approaches, GPT-4o, Mistral, and a bespoke algorithm, DSIT-Taxonomies, for…
A Hybrid AI Methodology for Generating Ontologies of Research Topics from Scientific Paper Corpora
Alessia Pisu, Livio Pompianu, Francesco Osborne +3
Taxonomies and ontologies of research topics (e.g., MeSH, UMLS, CSO, NLM) play a central role in providing the primary framework through which intelligent systems can explore and i…
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study
Tanay Aggarwal, Angelo Salatino, Francesco Osborne +1
Ontologies and taxonomies of research fields are critical for managing and organising scientific knowledge, as they facilitate efficient classification, dissemination and retrieval…
Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field
Tanay Aggarwal, Angelo Salatino, Francesco Osborne +1
Ontologies of research topics are crucial for structuring scientific knowledge, enabling scientists to navigate vast amounts of research, and forming the backbone of intelligent sy…
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
Angelo Salatino, Tanay Aggarwal, Andrea Mannocci +2
Knowledge Organization Systems (KOSs), such as term lists, thesauri, taxonomies, and ontologies, play a fundamental role in categorising, managing, and retrieving information. In t…
Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science
Angelo Salatino, Simone Angioni, Francesco Osborne +2
Understanding the relationship between the composition of a research team and the potential impact of their research papers is crucial as it can steer the development of new scienc…
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs
Angelo Salatino, Andrea Mannocci, Francesco Osborne
Analysing research trends and predicting their impact on academia and industry is crucial to gain a deeper understanding of the advances in a research field and to inform critical…
Improving Editorial Workflow and Metadata Quality at Springer Nature
Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou +1
Identifying the research topics that best describe the scope of a scientific publication is a crucial task for editors, in particular because the quality of these annotations deter…
Ontology Extraction and Usage in the Scholarly Knowledge Domain
Angelo A. Salatino, Francesco Osborne, Enrico Motta
Ontologies of research areas have been proven to be useful in many application for analysing and making sense of scholarly data. In this chapter, we present the Computer Science On…