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Robust Ontology Acquisition from Machine-Readable Dictionaries

机译:从机器可读词典获取强大的本体获取

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In this paper, we outline the development of a system that automatically constructs ontologies by extracting knowledge from dictionary definition sentences using Robust Minimal Recursion Semantics (RMRS), a semantic formalism that permits under-specification. We show that by combining deep and shallow parsing resources through the common formalism of RMRS, we can extract ontological relations in greater quality and quantity. Our approach also has the advantages of requiring a very small amount of rules and being easily adaptable to any language with RMRS resources.
机译:在本文中,我们概述了通过使用稳健的最小递归语义(RMRS)从字典定义句子中提取知识来自动构建本体的系统的开发,这是一个允许在规范下的语义形式主义。我们表明,通过通过RMRS的常见形式主义结合深层和浅的解析资源,我们可以以更大的质量和数量提取本体论关系。我们的方法还具有要求非常少量的规则并轻松适应具有RMRS资源的语言的优点。

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