Argumentation-Based Reasoning with Inconsistent Knowledge Bases

被引：0
|
作者：
Zhang, Xiaowang [1 ]
Zhang, Zhihu [1 ]
Xu, Dai [1 ]
Lin, Zuoquan [1 ]
机构：
[1] Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2010年 / 6085卷
关键词：
LOGIC; OWL;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an argumentation-based approach to dealing with inconsistency occurring in knowledge bases. We investigate several important logical properties of such an argumentation-based entailment relation and show its promising advantages in paraconsistent reasoning for inconsistent knowledge bases. Moreover, two basic inference problems, namely, satisfiability of concepts and query entailment, are discussed under our semantics. We provide a workable example in order to show the justifiability of the argumentation-based semantics.
引用
收藏
页码：87 / 99
页数：13
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