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ARGUE_WEB

Probabilistic Argumentation on the Web

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "ARGUE_WEB" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website http://www.cs.ox.ac.uk/
 Total cost 168˙166 €
 EC max contribution 168˙166 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-CAR
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2017-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 168˙166.00

Map

 Project objective

The (World Wide) Web hosts a wide range of argumentative text from resources of multiple disciplines and online debates. Also, tools (such as Debadepedia and Twitter) encourage the communication of arguments in social and scientific settings. With the exponential growth of the Web and its users, a vast amount of argumentative text on the Web remains hidden. In order to query the Web for structured arguments included in web pages, it is necessary to address both of the following issues: (1) the deployment of technologies that enable an automatic extraction of the components of natural language arguments and the representation of their meaning and (2) the deployment of a pragmatic argumentation formalism that takes into account the uncertain and inconsistent nature of data on the Web to reason with structured arguments.

State-of-the-art research in natural language processing (NLP) recently engaged in the deployment of technologies for learning the semantic similarity between statements and for the extraction of probabilistic beliefs and logic expressions from natural language text. This is a promising direction forward, toward the automatic extraction of the components of argumentative text online. Additionally, research on probabilistic formalisms supporting argumentation reasoning is at the heart of state-of-the-art research in knowledge representation and reasoning (KRR).

The goal of the “ARGUE_WEB” project is to develop a scalable probabilistic argumentation system for the retrieval, for the principled management of points of view derived from argumentative text on web pages, and for query answering from such points of view. One of the central aspects of this scalable approach is the representation of structured arguments using an ontology language and the development of a formalism which is tolerant to uncertainty and inconsistency.

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The information about "ARGUE_WEB" are provided by the European Opendata Portal: CORDIS opendata.

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