15 citations · 30 across the 10 of their papers we have counts for
10 papers
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…
How Do LLMs Encode Scientific Quality? An Empirical Study Using Monosemantic Features from Sparse Autoencoders
Michael McCoubrey, Angelo Salatino, Francesco Osborne +1
In recent years, there has been a growing use of generative AI, and large language models (LLMs) in particular, to support both the assessment and generation of scientific work. Al…
Integrating Large Language Models and Knowledge Graphs to Capture Political Viewpoints in News Media
Massimiliano Fadda, Enrico Motta, Francesco Osborne +2
News sources play a central role in democratic societies by shaping political and social discourse through specific topics, viewpoints and voices. Understanding these dynamics is e…
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…
Modelling and Classifying the Components of a Literature Review
Francisco Bolaños, Angelo Salatino, Francesco Osborne +1
Previous work has demonstrated that AI methods for analysing scientific literature benefit significantly from annotating sentences in papers according to their rhetorical roles, su…
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo +6
In 2012, the United Nations introduced 17 Sustainable Development Goals (SDGs) aimed at creating a more sustainable and improved future by 2030. However, tracking progress toward t…
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…
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Francisco Bolanos, Angelo Salatino, Francesco Osborne +1
This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology th…