Caminhando para uma Ciência Aberta: Uma abordagem estatística a partir da criação de resumos extrativos manuais e automáticos

Ivan Arias; Margarida Castro

doi:10.21814/h2d.4479

Authors

Ivan Arias University of Santiago de Compostela https://orcid.org/0000-0003-2673-0899
Margarida Castro University of Minho

DOI:

https://doi.org/10.21814/h2d.4479

Keywords:

automation, open science, data science, corpus, data democratization, extractive summaries

Abstract

Nowadays, the diffusion of new media has facilitated the proliferation of scientific data, which can be disseminated thanks to new information processing techniques. This article aims, based on the workflow established between open data and data science, to analyse manually and automatically generated summaries in statistical terms. As a result, we evaluate new possibilities of making scientific knowledge more accessible as we move towards a data democratization. Taking a corpus of abstracted texts as a starting point, quantitative analysis will thus be carried out using theoretical foundations that will allow us to draw conclusions about the feasibility of automation to achieve an open science.

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