Context-dependent interpretations of linguistic terms in fuzzy relational databases

Proceedings of the Eleventh International Conference on Data Engineering Pub Date : 1995-03-06 DOI:10.1109/ICDE.1995.380399

Weining Zhang, Clement T. Yu, Bryan Reagan, H. Nakajima

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引用次数: 20

Abstract

Approaches are proposed to allow fuzzy terms to be interpreted according to the context within which they are used. Such an interpretation is natural and useful. A query-dependent interpretation is proposed to allow a fuzzy term to be interpreted relative to a partial answer of a query. A scaling process is used to transform a pre-defined meaning of a fuzzy term into on appropriate meaning in the given context. Sufficient conditions are given for a nested fuzzy query with RELATIVE quantifiers to be unnested for an efficient evaluation. An attribute-dependent interpretation is proposed to model the applications in which the meaning of a fuzzy term in an attribute must be interpreted with respect to values in other related attributes. Two necessary and sufficient conditions for a tuple to have a unique attribute-dependent interpretation are provided. We describe an interpretation system that allows queries to be processed based on the attribute-dependent interpretation of the data. Two techniques, grouping and shifting, are proposed to improve the implementation.<>

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模糊关系数据库中语言术语的上下文相关解释

提出了允许模糊术语根据使用它们的上下文进行解释的方法。这样的解释是自然而有用的。提出了一种与查询相关的解释，允许相对于查询的部分答案来解释模糊术语。该方法利用标度过程将模糊术语的预定义含义转换为给定上下文中的适当含义。给出了具有相对量词的嵌套模糊查询解嵌套的充分条件。在某些应用程序中，属性中的模糊术语的含义必须根据其他相关属性中的值进行解释，因此提出了一种依赖于属性的解释。提供了元组具有唯一的依赖于属性的解释的两个充分必要条件。我们描述了一个解释系统，它允许基于数据的属性相关解释来处理查询。提出了分组和转移两种技术来改进实现。

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Proceedings of the Eleventh International Conference on Data Engineering

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