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Erschienen in: Artificial Intelligence Review 1/2013

01.01.2013

Research opportunities for argumentation in social networks

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

Erschienen in: Artificial Intelligence Review | Ausgabe 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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Fußnoten
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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Metadaten
Titel
Research opportunities for argumentation in social networks
verfasst von
Stella Heras
Katie Atkinson
Vicente Botti
Floriana Grasso
Vicente Julián
Peter McBurney
Publikationsdatum
01.01.2013
Verlag
Springer Netherlands
Erschienen in
Artificial Intelligence Review / Ausgabe 1/2013
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI
https://doi.org/10.1007/s10462-012-9389-0

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