Using argument graphs to audit reasoning in scientific publications
Zheng, Heng
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https://hdl.handle.net/2142/118103
Description
Title
Using argument graphs to audit reasoning in scientific publications
Author(s)
Zheng, Heng
Issue Date
2023-06-12
Keyword(s)
argument graphs
semantic web
scientific argumentation
Abstract
As an interdisciplinary field, argumentation studies arguments from various perspectives, such as the semantics of arguments (supports and attacks between arguments, the validity strengths of arguments, etc.), Argument Web (a Semantic Web application), and argument visualizations.
In our project about unreliable sources in science, we represent scientific publications as arguments where the information (statements) are captured and linked by support and attack relations, which are the key components of arguments. In this way, we demonstrate that argumentation can help us understand the impacts unreliable sources bring to the papers that cite them.
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