Interpreting and explaining pagerank through argumentation semantics

E Albini, P Baroni, A Rago, F Toni

Research output: Contribution to journalArticlepeer-review

Abstract

<jats:p>In this paper we show how re-interpreting PageRank as an argumentation semantics for a bipolar argumentation framework empowers its explainability. After showing that PageRank, naively re-interpreted as an argumentation semantics for support frameworks, fails to satisfy some generally desirable properties, we propose a novel approach able to reconstruct PageRank as a gradual semantics of a suitably defined bipolar argumentation framework, while satisfying these properties. We then show how the theoretical advantages afforded by this approach also enjoy an enhanced explanatory power: we propose several types of argument-based explanations for PageRank, each of which focuses on different aspects of the algorithm and uncovers information useful for the comprehension of its results.</jats:p>
Original languageEnglish
Pages (from-to)17-34
Number of pages0
JournalIntelligenza Artificiale
Volume15
Issue number1
DOIs
Publication statusPublished - 28 Jul 2021

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