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Using MathML to Represent Units of Measurement for Improved Ontology Alignment

机译:使用MathML表示度量单位以改善本体对齐

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Ontologies provide a formal description of concepts and their relationships in a knowledge domain. The goal of ontology alignment is to identify semantically matching concepts and relationships across independently developed ontologies that purport to describe the same knowledge. In order to handle the widest possible class of ontologies, many alignment algorithms rely on terminological and structural methods, but the often fuzzy nature of concepts complicates the matching process. However, one area that should provide clear matching solutions due to its mathematical nature, is units of measurement. Several ontologies for units of measurement are available, but there has been no attempt to align them, notwithstanding the obvious importance for technical interoperability. We propose a general strategy to map these (and similar) ontologies by introducing MathML to accurately capture the semantic description of concepts specified therein. We provide mapping results for three ontologies, and show that our approach improves on lexical comparisons.
机译:本体提供知识领域中概念及其关系的形式化描述。本体对齐的目的是在旨在描述相同知识的独立开发本体之间识别语义匹配的概念和关系。为了处理尽可能广泛的本体,许多对齐算法都依赖于术语和结构方法,但是概念的经常模糊的性质使匹配过程变得复杂。但是,由于其数学性质,应该提供清晰匹配解决方案的一个领域是测量单位。有几种度量单位的本体,但是尽管对技术互操作性具有明显的重要性,却没有尝试将它们对齐。我们通过引入MathML来准确捕获其中指定的概念的语义描述,提出了一种映射这些(和类似)本体的通用策略。我们提供了三种本体的映射结果,并表明我们的方法在词法比较方面有所改进。

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