Open AccessHow Artificial Intelligence Can Augment the Collection of Scientific Literature
Author(s) -
Mokeddem Allal
Publication year - 2020
Publication title -
european journal of formal sciences and engineering
Language(s) - English
Resource type - Journals
ISSN - 2601-8675
DOI - 10.26417/772udo89i
Subject(s) - computer science , field (mathematics) , context (archaeology) , scientific literature , process (computing) , data science , artificial intelligence , reliability (semiconductor) , paleontology , power (physics) , physics , mathematics , quantum mechanics , pure mathematics , biology , operating system
This article describes the contribution of artificial intelligence (AI) to the literature collection process, which has become more efficient and more homogeneous. In this context, the researcher will receive his literature not only according to his field. Moreover, the literature is strongly linked to scientific and academic ambitions. AI through its deep learning techniques offers the possibility of speeding up the process of collecting augmented literature via an approach based on the annotation of scientific names and none-scientific names related to the field. AI provides original or reproduced research avenues with reliable and precise results. In this article, we have highlighted how to develop conceptual framework based on scientific and none-scientific names related to the area of expertise, all ensuring the reproducibility, reliability and accuracy of the study.