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Application of fuzzy cognitive maps using semantic web approaches to model medical knowledge

机译:基于语义网的模糊认知图在医学知识建模中的应用

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This study presents our investigation into a generic approach to model medical knowledge, using the semantic web framework, to have explicit knowledge with a clear semantic meaning and cognitive maps. Fuzzy Cognitive Maps are proposed to model the medical knowledge extracting by clinical guidelines as they have been proven by literature as powerful knowledge representation and reasoning tools. A general purpose reasoning engine, Eye, with the necessary plug-ins was developed to be able to perform the reasoning on this knowledge model. The concepts and causal relationships among them are transferred in semantic web using the notationi. Our effort is mainly concentrated to present the main aspects of formalizing medical knowledge using cognitive maps and semantic web. The advantage of this approach is to enable the sharing and reuse of knowledge from databases of guidelines and simplify maintenance.
机译:这项研究提出了我们对使用语义网框架对医学知识进行建模的通用方法的研究,以使用具有清晰语义含义和认知图的显式知识。提出了模糊认知图来对通过临床指南提取的医学知识进行建模,因为它们已经被文献证明是强大的知识表示和推理工具。开发了具有必要插件的通用推理引擎Eye,可以在此知识模型上执行推理。概念和它们之间的因果关系使用符号在语义网中传递。我们的工作主要集中在介绍使用认知图和语义网对医学知识进行形式化的主要方面。这种方法的优点是能够共享和重用指南数据库中的知识,并简化维护。

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