Imperial College London
Portrait Picture

ProfessorFrancescaToni

Faculty of Engineering, Department of Computing

Professor in Computational Logic
 
 
 
//

Contact

 

+44 (0)20 7594 8228f.toni Website

 
 
//

Location

 

430Huxley BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Evripidou:2014:10.1080/12460125.2014.886496,
author = {Evripidou, V and Toni, F},
doi = {10.1080/12460125.2014.886496},
journal = {Journal of Decision Systems},
title = {Quaestio-it.com: a social intelligent debating platform},
url = {http://dx.doi.org/10.1080/12460125.2014.886496},
year = {2014}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Information sharing between online users has altered the way we seek and find information. Users have at their disposal a wide range of tools for exchanging opinions and engaging in discussions. This creates a vast amount of information and the need for a more strict structure and semantics in order to take full advantage of the information and automatically extract useful conclusions to support decision-making. In this paper we describe a framework, based on computational argumentation, for modeling and analysing social discussions, and demonstrate a question-and-answer web application, based on this framework, offering debating infrastructure for opinion exchanges between users and providing support for extracting intelligent answers to user-posed questions. © 2014 © 2014 Taylor & Francis.
AU  - Evripidou,V
AU  - Toni,F
DO  - 10.1080/12460125.2014.886496
PY  - 2014///
SN  - 1246-0125
TI  - Quaestio-it.com: a social intelligent debating platform
T2  - Journal of Decision Systems
UR  - http://dx.doi.org/10.1080/12460125.2014.886496
ER  -
Download