The paper discusses theoretical foundations that describe principles and processes
involved in defining semantics that deal with similarity between arguments. Such semantics …

An important task in logic, given a formula and a knowledge base which represents what an
agent knows of the current state of the world, is to be able to guess the truth value of the …

We present a novel argumentation-based method for finding and analyzing communities in
social media on the Web, where a community is regarded as a set of supported opinions that …

The notion of similarity has been studied in many areas of Computer Science; in a general
sense, this concept is defined to provide a measure of the semantic equivalence between …

When people debate, they want to familiarize themselves with a whole range of arguments
about a given topic in order to deepen their knowledge and inspire new claims. However …

The study of Dung-style Argumentation Frameworks in recent years has focused on
incorporating time. For example, availability intervals have been added to arguments and …

We aim at improving reasoning on inconsistent and uncertain data. We focus on knowledge-
graph data, extended with time intervals to specify their validity, as regularly found in …

Reasoning on inconsistent and uncertain data is challenging, especially for Knowledge-
Graphs (KG) to abide temporal consistency. Our goal is to enhance inference with more …

Argument mining is natural language processing technology aimed at identifying arguments
in text. Furthermore, the approach is being developed to identify the premises and claims of …

Analogical reasoning is one of the most common methods by which human beings use to
understand the world and make decisions. It is a dynamic process that explores an analogy …