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Experiences in reusing knowledge sources using Protege and PROMPT

机译:使用Protege和PROMPT重用知识源的经验

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We study the general question of how ontologies and reference terminologies can be used to make development of knowledge bases more manageable, taking into account the methodologies and tools available nowadays. For this, we have carried out a case study on designing a knowledge base oriented to support a diagnosis-aid application in ophthalmology. Ideally, starting from a pre-existing domain ontology, development of knowledge bases is centred only on collecting specific knowledge for a particular application. In practice, this is a very time-consuming approach, as ontology repositories do not usually provide many information-seeking facilities. In addition, it is unlikely to find an ontology that includes all the required knowledge. Consequently, design of knowledge bases requires the combination and adaptation of one or more source ontologies. In this work, particular attention is paid to the proper merging of two ontologies using the tool PROMPT. Our study emphasizes the advantages of using PROMPT for merging ontologies containing closely related portions of knowledge, as well as some proposals for improvement. In a second step, our approach extends the evolving ontology, with a new component that holds both a meta-model representing a very simplified structure of a terminology system into Prot g&-2000 and a set of constraints expressed using the Protege Axiom Language. This set of constraints allows us to check the consistency and coherence of the imported information. Defining meta-classes in Protege-2000 links this component to the rest of the models in the knowledge base. We report our experience in the reuse of several knowledge sources using Protege-2000 and several of the plug-ins. (c) 2005 Elsevier Ltd. All rights reserved.
机译:考虑到当今可用的方法和工具,我们研究了如何使用本体论和参考术语使知识库的开发更易于管理的一般问题。为此,我们进行了一个案例研究,旨在设计一个面向眼科诊断辅助应用的知识库。理想情况下,从现有的领域本体开始,知识库的开发仅集中在为特定应用程序收集特定知识上。实际上,这是一个非常耗时的方法,因为本体存储库通常不提供许多信息查找工具。另外,不可能找到包含所有必需知识的本体。因此,知识库的设计需要一种或多种源本体的组合和适应。在这项工作中,要特别注意使用工具PROMPT正确合并两个本体。我们的研究强调使用PROMPT合并包含知识密切相关部分的本体的优势,以及一些改进建议。第二步,我们的方法用一个新组件扩展了不断发展的本体,该新组件既包含表示Prot g&-2000中术语系统非常简化的结构的元模型,又包含使用Protege Axiom语言表示的一组约束。这组约束条件使我们可以检查导入信息的一致性和连贯性。在Protege-2000中定义元类会将此组件链接到知识库中的其他模型。我们报告了我们在使用Protege-2000和一些插件重复使用多个知识源方面的经验。 (c)2005 Elsevier Ltd.保留所有权利。

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