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dc.date.accessioned 2012-09-05T14:25:45Z
dc.date.available 2012-09-05T14:25:45Z
dc.date.issued 2008
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/20526
dc.description.abstract 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. en
dc.format.extent 85-89 es
dc.language en es
dc.subject Intelligent agents es
dc.subject Intelligent Database Systems en
dc.subject Argumentation en
dc.title Designing intelligent database systems through argumentation en
dc.type Objeto de conferencia es
sedici.creator.person Capobianco, Marcela es
sedici.creator.person Chesñevar, Carlos Iván es
sedici.creator.person García, Alejandro Javier es
sedici.creator.person Simari, Guillermo Ricardo es
sedici.description.note Eje: Agentes y Sistemas Inteligentes es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2008-05
sedici.relation.event X Workshop de Investigadores en Ciencias de la Computación es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)