no code implementations • 13 Feb 2024 • Francisco Bolanos, Angelo Salatino, Francesco Osborne, Enrico Motta
This manuscript presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs).
no code implementations • 24 Mar 2023 • Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately.
no code implementations • 26 May 2022 • 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.
no code implementations • 3 Jul 2021 • Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann
This is typical for KGs that categorize a large number of entities (e. g., research articles, patents, persons) according to a relatively small set of categories.
no code implementations • 24 Jun 2021 • 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 decisions about research funding and technology adoption.
no code implementations • 2 Apr 2021 • Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta
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 of approaches for analysing and making sense of the research environment.
no code implementations • 24 Mar 2021 • Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
For this reason, Springer Nature, the world's largest academic book publisher, has traditionally entrusted this task to their most expert editors.
no code implementations • 24 Mar 2021 • Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
SBR recommends books, journals, and conference proceedings relevant to a conference by taking advantage of a semantically enhanced representation of about 27K editorial products.
1 code implementation • 28 Oct 2020 • Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta
As such, in this paper, we present a new architecture that takes advantage of Natural Language Processing and Machine Learning methods for extracting entities and relationships from research publications and integrates them in a large-scale knowledge graph.
no code implementations • 27 Mar 2020 • 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.