Ten quick tips for building FAIR workflows

C de Visser, LF Johansson, P Kulkarni… - PLoS Computational …, 2023 - journals.plos.org
Research data is accumulating rapidly and with it the challenge of fully reproducible
science. As a consequence, implementation of high-quality management of scientific data …

Leveraging knowledge graph technologies to assess journals and conferences at springer nature

S Angioni, A Salatino, F Osborne, A Birukou… - International Semantic …, 2022 - Springer
Research publishing companies need to constantly monitor and compare scientific journals
and conferences in order to inform critical business and editorial decisions. Semantic Web …

Detection, analysis, and prediction of research topics with scientific knowledge graphs

AA Salatino, A Mannocci, F Osborne - Predicting the Dynamics of …, 2021 - Springer
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 …

Will open science change authorship for good? Towards a quantitative analysis

A Mannocci, O Irrera, P Manghi - arXiv preprint arXiv:2207.03121, 2022 - arxiv.org
Authorship of scientific articles has profoundly changed from early science until now. If once
upon a time a paper was authored by a handful of authors, scientific collaborations are much …

[PDF][PDF] Towards Unsupervised Machine Learning Approaches for Knowledge Graphs.

F Minutella, F Falchi, P Manghi, M De Bonis, N Messina - IRCDL, 2022 - iris.cnr.it
Nowadays, a lot of data is in the form of Knowledge Graphs aiming at representing
information as a set of nodes and relationships between them. This paper proposes an …