多语言领域数据中的互操作词汇

Simone Bocca, Gábor Bella, Fausto Giunchiglia
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引用次数: 1

摘要

在需要高水平信息精度的感兴趣领域中,减少数据中的歧义是需要满足的关键要求。为此目的,利用特定的Domain Data,其中的信息通过定义的特定Domain vocabulary来表示,以减少存在的歧义,而不是使用自然语言。然而,对于在不同上下文中使用的相同领域,定义了不同的词汇表,从而阻碍了使用这些词汇表表示的领域数据进行互操作的可能性。本文的主要贡献是一个领域词汇集成过程,允许跨上下文可利用的多语言领域数据中不同词汇之间的互操作性。该集成过程基于一种新颖的方法,该方法将概念的语义从概念的表示中具体分离出来,从而降低了在不同词汇表概念之间创建映射的复杂性。该流程目前在InteropEHRate EU项目中采用,从中提取了一个真实的用例场景来演示流程的执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interoperating Vocabularies in Multilingual Domain Data
Reducing ambiguity in data is a crucial requirement to be satisfied in domains of interest where high levels of information precision are required. For this purpose a specific Domain Data is exploited, where the information is expressed through specific Domain Vocabularies defined to reduce the ambiguity present, instead, when natural languages are used. However, different vocabularies are defined for the same domain used in different contexts, hindering the possibility to interoperate domain data expressed using such vocabularies. The main contribution of this paper is a domain vocabulary integration process, allowing for the interoperability among different vocabularies in cross-context exploitable Multilingual Domain Data. The integration process is based on a novel approach which concretely separates the semantic of concepts from their representations, thus reducing the complexity of creating mapping between different vocabularies concepts. The process is currently adopted within the InteropEHRate EU project, from which a real use case scenario has been extracted to demonstrate the execution of the process.
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