75 citations · 171 across the 6 of their papers we have counts for
7 papers
Characterising Research Areas in the field of AI
Alessandra Belfiore, Angelo Salatino, Francesco Osborne
Interest in Artificial Intelligence (AI) continues to grow rapidly, hence it is crucial to support researchers and organisations in understanding where AI research is heading. In t…
Trans4E: Link Prediction on Scholarly Knowledge Graphs
Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati +8
The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the quality of AI-based services. In the scholarly domain, KGs describing research publications typically…
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…
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles
Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam +1
Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety o…
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…