Uncertainty reasoning for the Semantic Web based on Dempster-Shafer model

Loukia Karanikola, Isambo Karali, S. McClean
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引用次数: 4

Abstract

The Semantic Web vision introduces the concept of machine-oriented web information. This information is characterized by the notions of uncertainty and vagueness. Towards this notions, an ontology model for representing uncertain or vague information, as well as an inference method for reasoning about this kind of information is necessary. Our approach faces the aforementioned issues, i.e. the imperfect ontology model and the reasoning approach. In order to show how our method performs, an implementation is outlined.
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基于Dempster-Shafer模型的语义网不确定性推理
语义Web视觉引入了面向机器的Web信息的概念。这种信息的特点是不确定和模糊的概念。为了实现这一概念,需要一种表示不确定或模糊信息的本体模型,以及一种对这类信息进行推理的推理方法。我们的方法面临着上述问题,即本体模型和推理方法的不完善。为了展示我们的方法是如何执行的,这里概述了一个实现。
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