Vague information has been emerged as a main issue in Semantic Web community. Vagueness is traditionally represented by fuzzy set theory. Besides vagueness, Semantic Web queries often have to deal with information incompleteness, aka uncertainty. This kind of information can be represented through Dempster-Shafer theory, that also enables distributed information fusion. Vagueness along with information incompleteness are often referred to under the common term imprecise information. Imprecise information should be represented and manipulated under a common framework. We propose such a framework by defining a fuzzy Description Logic extended with Dempster-Shafer theory. Furthermore, we regard our method as a DL extension and we implemented it by a metaontology that captures Dempster-Shafer Fuzzy statements.

中文翻译：

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迈向登普斯特__哈弗模糊描述逻辑__解决语义网中的不精确性


模糊信息已成为语义网社区的一个主要问题。模糊性传统上用模糊集合论来表示。除了模糊性之外，语义网查询通常还必须处理信息不完整性，即不确定性。这种信息可以通过Dempster-Shafer理论来表示，这也使得分布式信息融合成为可能。模糊性和信息不完整性通常被称为通用术语“不精确信息”。不精确的信息应该在一个共同的框架下表示和操作。我们通过定义用 Dempster-Shafer 理论扩展的模糊描述逻辑来提出这样的框架。此外，我们将我们的方法视为 DL 扩展，并通过捕获 Dempster-Shafer Fuzzy 语句的元本体来实现它。