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2019 | OriginalPaper | Chapter

Ontology-Based Approach to Organizing the Support for the Analysis of Argumentation in Popular Science Discourse

Authors : Yury Zagorulko, Natalia Garanina, Alexey Sery, Oleg Domanov

Published in: Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

The paper presents an approach to modeling and analyzing the argumentation found in popular science literature. Argumentation is modeled using an argumentation ontology based on the AIF base ontology expanded by the means for modeling the target audience and allowing for a more detailed description of the arguments’ content. In terms of this ontology, the authors give the descriptions of argumentation schemes, arguments’ structure and elements, as well as of the network of arguments and their constituent parts extracted from the texts under study. To analyze argumentation, a software system is being developed. It provides tools for modeling and identifying the structure of argumentation on a corpus of texts relating to popular science discourse. In addition, the system can examine the extracted argumentation with the purpose of revealing and analyzing argumentative strategies and rhetorical methods used in scientific and popular science texts. The paper describes the specific features of the proposed argumentation ontology and presents the architecture and functionality of the software system designed for argumentation analysis.

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Title: Ontology-Based Approach to Organizing the Support for the Analysis of Argumentation in Popular Science Discourse
Authors: Yury Zagorulko
Natalia Garanina
Alexey Sery
Oleg Domanov
Publisher: Springer International Publishing
Book: Artificial Intelligence
Print ISBN: 978-3-030-30762-2

Electronic ISBN: 978-3-030-30763-9

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-30763-9_29

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