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支持单变量双极偏好条件的RDF模糊查询方法

Fuzzy querying of RDF with univariate bipolarity preference conditions

中文摘要英文摘要

针对日常表达中包含的偏好信息,分析偏好特点,给出了对应的RDF(resource description framework)偏好查询方法。使用语言的方式描述查询中的偏好条件,扩展SPARQL(simple protocol and RDF query language)语言支持偏好表达,调用语言变量的RDF模糊查询方法,实现去模糊化转换得到近似的结果。利用单极偏好满意度函数,评价结果符合单变量双极偏好条件的程度。定义了一个优先度函数通过排序的方法实现结果优化。实验系统及相应的实验结果验证了所提方法的可用性。

he RDF query methods are proposed to analyze the preference information and characteristics of daily expression. Preference criteria in query are described in the linguistic method. Extended SPARQL language is applied to express preference, RDF fuzzy query method of linguistic variable is used to get approximate result after defuzzification. The degree of results’ compliance with univariate bipolarity preference criteria is evaluated using unipolarity satisfaction degree function. A priority function is defined to guide the sorting operation to optimize the results. Finally, an experimental system is developed and the experimental results show the feasibility of the proposed approach.

马宗民、王海荣

计算技术、计算机技术

单变量双极偏好模糊查询语言变量

univariate bipolarity preferencefuzzy querylinguistic variables

马宗民,王海荣.支持单变量双极偏好条件的RDF模糊查询方法[EB/OL].(2015-03-24)[2025-08-21].http://www.paper.edu.cn/releasepaper/content/201503-307.点此复制

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