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Support in Abstract Argumentation
TLDR
In this paper, we consider two drawbacks of Cayrol and Lagasque-Schiex's meta-argumentation theory to model bipolar argumentation frameworks. Expand
The first international competition on computational models of argumentation: Results and analysis
TLDR
We report on the First International Competition on Computational Models of Argumentation (ICCMA'15) which took place in the first half of 2015 and focused on reasoning tasks in abstract argumentation frameworks. Expand
Modelling defeasible and prioritized support in bipolar argumentation
TLDR
We introduce a way to model defeasible support in bipolar argumentation frameworks by introducing a second relation on the arguments for representing the support among them. Expand
Towards Artificial Argumentation
TLDR
We report in this review, recent developments in the field are leading to technology for artificial argumentation, in the legal, medical, and e-government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging. Expand
Enabling Linked Data Publication with the Datalift Platform
TLDR
This paper presents Datalift, a framework and a platform helping to lift raw data sources to semantic interlinked data sources. Expand
Context-Aware Access Control for RDF Graph Stores
TLDR
We present SHI3LD, an access control framework for RDF stores. Expand
A dataset of RDF licenses
TLDR
We present RDFLicense2, a RDF dataset of licenses for its use with resources in the Web. Expand
Changing One's Mind: Erase or Rewind?
TLDR
We address the issue, in cognitive agents, of possible loss of previous information, which later might turn out to be correct when new information becomes available. Expand
Argument Mining on Twitter: Arguments, Facts and Sources
TLDR
We apply supervised classification to identify arguments on Twitter, and we present two new tasks for argument mining, namely facts recognition and source identification. Expand
Changing One ’ s Mind : Erase or Rewind ? Possibilistic Belief Revision with Fuzzy Argumentation based on Trust
We address the issue, in cognitive agents, of possible loss of previous information, which later might turn out to be correct when new information becomes available. To this aim, we propose aExpand
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