Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network

M Krenn, L Buffoni, B Coutinho, S Eppel… - Nature Machine …, 2023 - nature.com
A tool that could suggest new personalized research directions and ideas by taking insights
from the scientific literature could profoundly accelerate the progress of science. A field that …

The computer science ontology: a large-scale taxonomy of research areas

AA Salatino, T Thanapalasingam, A Mannocci… - The Semantic Web …, 2018 - Springer
Ontologies of research areas are important tools for characterising, exploring, and analysing
the research landscape. Some fields of research are comprehensively described by large …

Generating knowledge graphs by employing natural language processing and machine learning techniques within the scholarly domain

D Dessì, F Osborne, DR Recupero, D Buscaldi… - Future Generation …, 2021 - Elsevier
The continuous growth of scientific literature brings innovations and, at the same time, raises
new challenges. One of them is related to the fact that its analysis has become difficult due to …

SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain

D Dessí, F Osborne, DR Recupero, D Buscaldi… - Knowledge-Based …, 2022 - Elsevier
Science communication has a number of bottlenecks that include the rising number of
published research papers and its non-machine-accessible and document-based paradigm …

Adapting CRISP-DM for idea mining: a data mining process for generating ideas using a textual dataset

WY Ayele - International Journal of Advanced Computer Sciences …, 2020 - diva-portal.org
Data mining project managers can benefit from using standard data mining process models.
The benefits of using standard process models for data mining, such as the de facto and the …

A comparative analysis of knowledge injection strategies for large language models in the scholarly domain

A Cadeddu, A Chessa, V De Leo, G Fenu… - … Applications of Artificial …, 2024 - Elsevier
In recent years, transformer-based models have emerged as powerful tools for natural
language processing tasks, demonstrating remarkable performance in several domains …

Scholarly data mining: A systematic review of its applications

A Dridi, MM Gaber, RMA Azad… - … Reviews: Data Mining …, 2021 - Wiley Online Library
During the last few decades, the widespread growth of scholarly networks and digital
libraries has resulted in an explosion of publicly available scholarly data in various forms …

The CSO classifier: Ontology-driven detection of research topics in scholarly articles

AA Salatino, F Osborne, T Thanapalasingam… - Digital Libraries for …, 2019 - Springer
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 …

The computer science ontology: A comprehensive automatically-generated taxonomy of research areas

AA Salatino, T Thanapalasingam, A Mannocci… - Data …, 2020 - direct.mit.edu
Ontologies of research areas are important tools for characterizing, exploring, and analyzing
the research landscape. Some fields of research are comprehensively described by large …

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network

M Krenn, L Buffoni, B Coutinho, S Eppel… - arxiv preprint arxiv …, 2022 - arxiv.org
A tool that could suggest new personalized research directions and ideas by taking insights
from the scientific literature could significantly accelerate the progress of science. A field that …