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Published in: Artificial Intelligence Review 1/2013

01-01-2013

Research opportunities for argumentation in social networks

Authors: Stella Heras, Katie Atkinson, Vicente Botti, Floriana Grasso, Vicente Julián, Peter McBurney

Published in: Artificial Intelligence Review | Issue 1/2013

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Abstract

Nowadays, many websites allow social networking between their users in an explicit or implicit way. In this work, we show how argumentation schemes theory can provide a valuable help to formalize and structure on-line discussions and user opinions in decision support and business oriented websites that held social networks between their users. Two real case studies are studied and analysed. Then, guidelines to enhance social decision support and recommendations with argumentation are provided.

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Footnotes
1
This paper presents an extended and corrected version of the work published at Heras et al. (2010a, b)
 
4
OVA at ARG:dundee:  www.​arg.​dundee.​ac.​uk.
 
5
Web Ontology Language (OWL):  http://​www.​w3.​org/​2004/​OWL/​.
 
6
Semantically-Interlinked On-line Communities (SIOC) project: http://​sioc-project.​org/​.
 
7
Resource Description Framework (RDF):  http://​www.​w3.​org/​RDF/​.
 
8
The Friend of a Friend (FOAF) project:  http://​www.​foaf-project.​org/​.
 
10
This example is an adaptation of real posts on Amazon.
 
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Metadata
Title
Research opportunities for argumentation in social networks
Authors
Stella Heras
Katie Atkinson
Vicente Botti
Floriana Grasso
Vicente Julián
Peter McBurney
Publication date
01-01-2013
Publisher
Springer Netherlands
Published in
Artificial Intelligence Review / Issue 1/2013
Print ISSN: 0269-2821
Electronic ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-012-9389-0

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