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An ontology-mediated scenario composer for knowledge acquisition in intelligent systems

机译:本体介导的情节作曲家,用于智能系统中的知识获取

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The acquisition of decision-quality tacit knowledge from domain experts has been an important issue in the realm of knowledge management and intelligent systems. We present a Tacit Knowledge Acquisition Info-structure (TKAI) that allows remote domain experts to record their tacit knowledge via a novel tacit knowledge acquisition construct called Scenarios. In this info-structure, an ontology is employed to enforce standardisation in view that tacit knowledge is deemed to be hierarchical in structure and personal in nature. The Extensible Markup Language (XML) is also featured to encode the acquired scenario instances and to facilitate their transfer over the Internet for the global sharing of the acquired tacit knowledge. XML also allows the translation of scenario instances into other representational languages that are deemed more appropriate for specific tasks.
机译:从领域专家那里获取决策质量的隐性知识一直是知识管理和智能系统领域中的重要问题。我们提供了一个隐性知识获取信息结构(TKAI),该结构允许远程域专家通过一种称为“方案”的新型隐性知识获取结构来记录其隐性知识。在此信息结构中,鉴于隐性知识被认为在结构上是分层的并且在本质上是个人的,因此采用本体来实施标准化。可扩展标记语言(XML)还具有对获取的场景实例进行编码的功能,并有助于它们在Internet上的传输,以实现对获取的默认知识的全球共享。 XML还允许将场景实例翻译成其他表示语言,这些表示语言更适合于特定任务。

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