Cristhian Ariel David Deagustini, Santiago Emanuel Fulladoza Dalibón, Sebastián Gottifredi, Marcelo Alejandro Falappa, Carlos Iván Chesñevar & Guillermo Ricardo Simari
Argument and Computation 8 (1):35-59 (2017)
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Abstract |
Defeasible argumentation has been applied successfully in several real-world domains in which it is necessary to handle incomplete and contradictory information. In recent years, there have been interesting attempts to carry out argumentation processes supported by massive repositories developing argumentative reasoning applications. One of such efforts builds arguments by retrieving information from relational databases using the DBI-DeLP framework; this article presents eDBI-DeLP, which extends the original DBI-DeLP framework by providing two novel aspects which refine the interaction between DeLP programs and relational databases. First, we expand the expressiveness of dbi-delp programs by providing ways of controlling how the information in databases is recovered; this is done by introducing filters that enable an improved fine-grained control on the argumentation processes which become useful in applications, providing the semantics and the implementation of such filters. Second, we introduce an argument comparison criterion which can be adjusted at the level of literals to model particular features such as credibility and topic expertise, among others. These new tools can be particularly useful in environments such as medical diagnosis expert systems, decision support systems, or recommender systems based on argumentation, where datasets are often provided in the form of relational databases.
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DOI | 10.3233/aac-170017 |
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References found in this work BETA
Argument-Based Extended Logic Programming with Defeasible Priorities.Henry Prakken & Giovanni Sartor - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):25-75.
Defeasible Logic Programming: DeLP-Servers, Contextual Queries, and Explanations for Answers.Alejandro J. García & Guillermo R. Simari - 2014 - Argument and Computation 5 (1):63-88.
Dialectic Proof Procedures for Assumption-Based, Admissible Argumentation.P. M. Dung, R. A. Kowalski & F. Toni - 2006 - Artificial Intelligence 170 (2):114-159.
Padua: A Protocol for Argumentation Dialogue Using Association Rules. [REVIEW]Maya Wardeh, Trevor Bench-Capon & Frans Coenen - 2009 - Artificial Intelligence and Law 17 (3):183-215.
On the Revision of Informant Credibility Orders.Luciano H. Tamargo, Alejandro J. García, Marcelo A. Falappa & Guillermo R. Simari - 2014 - Artificial Intelligence 212:36-58.
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