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ROC: A Method for Proto-ontology Construction by Domain Experts

机译:ROC:域专家的原型施工方法

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Ontology construction is a labour-intensive and costly process. Even though many formal and semi-formal vocabularies are available, creating an ontology for a specific application is hindered in a number of ways. Firstly, the process of elicitating concepts is a time consuming and strenuous process. Secondly, it is difficult to keep focus. Thirdly, technical modelling constructs are hard to understand for the uninitiated. We propose ROC as a method to cope with these problems. ROC builds on well-known approaches for ontology construction. However, we reuse existing sources to generate a repository of proposed associations. ROC assists in efficiently putting forward all relevant concepts and relations by providing a large set of potential candidate associations. Secondly, rather than using intermediate representations of formal constructs we confront the domain expert with 'natural-language-like' statements generated from RDF-based triples. Moreover, we strictly separate the roles of problem owner, domain expert and knowledge engineer, each having his own responsibilities and skills. The domain expert and problem owner keep focus by monitoring a well-defined application purpose. We have implemented an initial set of tools to support ROC. This paper describes the ROC method and two application cases in which we evaluate the overall approach.
机译:本体建设是一种劳动密集型和昂贵的过程。尽管有许多正式和半正式的词汇表可用,但为特定应用程序创建了本体,以多种方式阻碍了。首先,引出概念的过程是耗时和艰苦的过程。其次,很难保持焦点。第三,技术建模构建难以理解未偿还的。我们向ROC提出作为应对这些问题的方法。 ROC建立在着名的本体建设方法中。但是,我们重复使用现有来源来生成所提出的关联的存储库。 ROC通过提供大量潜在的候选协会,有助于有效地提出所有相关概念和关系。其次,而不是使用正式构建的中间代表,我们将域专家与从基于RDF的三元组产生的“自然语言类似”的语句相结合。此外,我们严格分开了问题所有者,领域专家和知识工程师的角色,每个人都有自己的责任和技能。域专家和问题所有者通过监控明确的应用程序目的来保持焦点。我们已经实现了一个初始的工具来支持ROC。本文介绍了我们评估了整体方法的ROC方法和两个应用案例。

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