This paper introduces techniques to integrate WordNet into a Fuzzy Logic Programming system. Since WordNet relates words but does not give graded information on the relation between them, we have implemented standard similarity measures and new directives allowing the proximity equations linking two words to be generated with an approximation degree. Proximity equations are the key syntactic structures which, in addition to a weak unification algorithm, make a flexible query-answering process possible in this kind of programming language. This addition widens the scope of Fuzzy Logic Programming, allowing certain forms of lexical reasoning, and reinforcing Natural Language Processing (NLP) applications.

中文翻译：

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在模糊逻辑编程系统中实现词汇语义相似度的 WordNet 度量

本文介绍了将 WordNet 集成到模糊逻辑编程系统中的技术。由于 WordNet 与单词相关，但不提供关于它们之间关系的分级信息，因此我们实施了标准相似性度量和新指令，允许生成具有近似度的连接两个单词的邻近方程。接近方程是关键的句法结构，除了弱统一算法外，它还使这种编程语言中的灵活查询-回答过程成为可能。这一添加扩大了模糊逻辑编程的范围，允许某些形式的词汇推理，并加强自然语言处理 (NLP) 应用程序。