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A content-focused method for re-engineering thesauri into semantically adequate ontologies using OWL

机译：一种基于内容的方法，可使用OWL将叙词表重新构建为语义上适当的本体

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摘要

The re-engineering of vocabularies into ontologies can save considerable time in the development of ontologies. Current methods that guide the re-engineering of thesauri into ontologies often convert vocabularies merely syntactically and ignore problems arising from interpreting vocabularies as ontologies, i.e. as sets of statements of facts. Current re-engineering methods also do not make use of the semantic capabilities of formal languages in order to detect logical mistakes and improve vocabularies. In this paper, we introduce a content-focused method for building domain-specific ontologies based on a thesaurus, a popular type of vocabulary. Application of the method results in an ontology that not only adheres to the semantics of the description logic OWL, but also contains a semantically rich description of the modeled entities, enables non-trivial, automated reasoning, and can be integrated with other ontologies following the same development principles. We explain the motivation and sub-activities for each of the steps in our method and illustrate their application through a case study in the domain of agricultural fertilizers based on the ACROVOC Thesaurus. Our method shows, first and foremost, that a considerable manual effort is required to derive a semantically rich ontology from a thesaurus, particularly in connection with the alignment to a top-level ontology as well as for the identification and formal specification of membership conditions. Applying our method will likely change the structure of a thesaurus considerably. Our method is particularly useful where a highly reliable is-a hierarchy or consistent definitions are crucial.
机译：将词汇重新设计为本体可以节省大量的本体开发时间。引导叙词表重新设计为本体的当前方法通常仅在语法上转换词汇，而忽略将词汇解释为本体（即事实陈述集）而产生的问题。当前的重新设计方法还没有利用形式语言的语义功能来检测逻辑错误并提高词汇量。在本文中，我们介绍了一种基于词库（一种流行的词汇）的，针对内容的，用于构建领域特定本体的方法。该方法的应用产生了一个本体，该本体不仅遵守描述逻辑OWL的语义，而且还包含对建模实体的语义丰富的描述，可以进行非平凡的，自动的推理，并且可以与其他本体集成在一起。相同的开发原则。我们解释了我们方法中每个步骤的动机和子活动，并通过基于ACROVOC词库的农业肥料领域的案例研究说明了它们的应用。我们的方法首先（最重要的）表明，需要大量的人工才能从同义词库中获得语义丰富的本体，特别是在与顶层本体的对齐以及成员资格条件的识别和形式说明方面。应用我们的方法可能会大大改变同义词库的结构。当高度可靠的is-层次结构或一致的定义至关重要时，我们的方法特别有用。

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