Designing intelligent database systems through argumentation

Information systems play an ever-increasing key role in our society. In particular, data intensive applications are in constant demand and there is need of computing environments with much more intelligent capabilities than those present in today’s Data-base Management Systems (DBMS). Nowadays intel...

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Autores principales: Capobianco, Marcela, Chesñevar, Carlos Iván, García, Alejandro Javier, Simari, Guillermo Ricardo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2008
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/20526
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id I19-R120-10915-20526
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Intelligent agents
Intelligent Database Systems
Argumentation
spellingShingle Ciencias Informáticas
Intelligent agents
Intelligent Database Systems
Argumentation
Capobianco, Marcela
Chesñevar, Carlos Iván
García, Alejandro Javier
Simari, Guillermo Ricardo
Designing intelligent database systems through argumentation
topic_facet Ciencias Informáticas
Intelligent agents
Intelligent Database Systems
Argumentation
description Information systems play an ever-increasing key role in our society. In particular, data intensive applications are in constant demand and there is need of computing environments with much more intelligent capabilities than those present in today’s Data-base Management Systems (DBMS). Nowadays intelligent applications require better reasoning capabilities than those present in older data processing systems[7]. Argumentation frameworks appear to be an excellent starting-point for building such systems. Research in argumentation has provided important results while striving to obtain tools for common sense reasoning. As a result, argumentation systems have substantially evolved in the past few years, and this resulted in a new set of argument-based applications in diverse areas where knowledge representation issues play a major role. Clustering algorithms [6], intelligent web search [3], recommender systems [4, 3], and natural language assessment [2] are the outcome of this evolution. We claim that massive data processing systems can be combined with argumentation to obtain systems that administer and reason with large databases. These would result in a system that can extract and process information from massive databases and exhibit intelligent behavior and common sense reasoning as a by-product of the argumentation system used for the reasoning process. In this work, we present a specialization of the DeLP [5] system, called Database Defeasible Logic Programming (DB DeLP). This framework could be easily integrated with a relational database component to achieve a system capable of massive data processing and intelligent behavior. Next, we formally define this system.
format Objeto de conferencia
Objeto de conferencia
author Capobianco, Marcela
Chesñevar, Carlos Iván
García, Alejandro Javier
Simari, Guillermo Ricardo
author_facet Capobianco, Marcela
Chesñevar, Carlos Iván
García, Alejandro Javier
Simari, Guillermo Ricardo
author_sort Capobianco, Marcela
title Designing intelligent database systems through argumentation
title_short Designing intelligent database systems through argumentation
title_full Designing intelligent database systems through argumentation
title_fullStr Designing intelligent database systems through argumentation
title_full_unstemmed Designing intelligent database systems through argumentation
title_sort designing intelligent database systems through argumentation
publishDate 2008
url http://sedici.unlp.edu.ar/handle/10915/20526
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AT garciaalejandrojavier designingintelligentdatabasesystemsthroughargumentation
AT simariguillermoricardo designingintelligentdatabasesystemsthroughargumentation
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