从自然语言需求到使用本体的形式化规范

Driss Sadoun, Catherine Dubois, Y. Ghamri-Doudane, Brigitte Grau
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引用次数: 22

摘要

为了检查用自然语言编写的需求规范,我们选择通过本体对领域知识建模,并通过其数量正式表示用户需求。我们的本体填充方法侧重于从文本中识别实例属性。我们使用从训练语料库和自举术语中自动获得的提取规则来实现这一点。这些规则旨在使用词法、句法和语义层面的分析,识别由术语三元组表示的实例属性提及。它们是由表示概念和属性实例的术语之间的循环语法路径生成的。我们展示了专注于实例属性识别如何使我们能够精确地识别文本中显式或隐式提到的概念实例。
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From Natural Language Requirements to Formal Specification Using an Ontology
In order to check requirement specifications written in natural language, we have chosen to model domain knowledge through an ontology and to formally represent user requirements by its population. Our approach of ontology population focuses on instance property identification from texts. We do so using extraction rules automatically acquired from a training corpus and a bootstrapping terminology. These rules aim at identifying instance property mentions represented by triples of terms, using lexical, syntactic and semantic levels of analysis. They are generated from recurrent syntactic paths between terms denoting instances of concepts and properties. We show how focusing on instance property identification allows us to precisely identify concept instances explicitly or implicitly mentioned in texts.
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