The paper discusses a software system designed to support the study of argumentation in Russian-language popular science texts. This system is based on an ontology built on modern principles of argumentation modeling. In particular, this ontology contains formal descriptions of typical reasoning schemes that are used for annotating texts, analyzing the arguments presented in them, and assessment of its persuasiveness relative to a given audience. A method of argumentative marking of a text is proposed, which provides the allocation of statements and the construction on their basis of an argumentation graph using knowledge about typical reasoning schemes. The paper also describes a set of web tools that provide the creation of thematic corpora, visualization of the argumentation ontology used, the construction of the argumentation graph, the selection of argumentation indicators in the texts, as well as the search for various entities in the text corpora in ontology terms. Analytical tools are presented by means of collecting statistical information on the occurrence of typical elements of argumentation in the body of texts, by means of researching indicators of argumentation and by means of analyzing the persuasiveness of argumentation. The novelty of the work consists in the development of an original methodology for studying argumentation in popular science discourse, based on the ontology of argumentation and supported by a specialized web platform.
Today, popular science discourse is becoming an integral and essential element of scientific activity, as it acts as a mediator, providing communication between the scientific community and a wide audience. In order for this interaction to be productive, it is necessary that the texts (popular science books and articles) offered to the uninitiated public contain high-quality argumentation. In this regard, the study of the argumentation presented in the popular science literature is an important and urgent problem. This paper presents an approach to modeling the arguments used in popular science literature. Such modeling is performed using the means of the ontology of argumentation, based on the AIF format (Argument Interchange Format). This format is accepted de facto by the international community as a standard notation for describing arguments and argumentative structures. We extended this ontology by the means necessary to model the argumentation used in popular science discourse. In particular, new means allow you to model the target audience and present the content of the statements included in the arguments. In terms of the extended ontology we can describe generally accepted and original argumentation schemes, their significance for various audiences, the structure and components of arguments. Concrete arguments extracted from the texts under study and their components can also be presented in the terms of this ontology. The ontology of argumentation with such properties is described for the first time. This ontology is used as an information model of a software system designed for modeling and analysis of argumentation used in popular science literature.
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