表征不一致轻量级本体中的非失败修复

S. Benferhat, Zied Bouraoui, Huma Chadhry, Mohd Shafry Bin Mohd Rahim Fc, Karim Tabia, Abdelmoutia Telli
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引用次数: 5

摘要

在许多应用程序中,例如视频处理,数据通常由具有不同可靠性级别的几个潜在冲突源提供。本文讨论了当一组断言(事实)被优先化时,在轻量级本体中处理不一致的问题。我们提出了一种安全有效的方法来恢复一致性,使用自由断言的概念,即不涉及冲突的断言。我们的方法允许选择一个一致的断言基础,称为首选修复。论文的最后一部分包含一个使用视频数据的说明性示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing Non-Defeated Repairs in Inconsistent Lightweight Ontologies
In many applications, such as video processing, data are often provided by several and potentially conflicting sources having different reliability levels. This paper deals with the problem of handling inconsistency in lightweight ontologies when the set of assertions (facts) is prioritized. We propose a safe and efficient way to restore consistency using the concept of free assertions, assertions that are not involved in conflicts. Our approach allows the selection of one consistent assertional base, called a preferred repair. The last part of the paper contains an illustrative example using video data.
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