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Knowledge Acquisition in Conceptual Ontological Artificial Intelligence System

机译:知识获取在概念本体人工智能系统中

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The paper deals with active knowledge acquisition based on dialogue between AI system and its user. Presented method uses Conceptual Ontological Object Orientated System (COOS) to distinguish differences between concepts and to unequivocally process the input stream. In case of concepts, that do not exist in the system yet, adequate algorithms are being used to position them in ontological core. Separate concepts differ in attributes values or in sets of direct connections with other concepts. The communication aspect of the system deliver information that allow generating proper interpretation for user's statement.
机译:本文根据AI系统及其用户之间的对话方式涉及主动知识获取。呈现的方法使用概念性本体对象定向系统(COO)来区分概念之间的差异并明确地处理输入流。在概念的情况下,在系统中不存在的情况下,用于将它们定位在本体核心中的足够算法。单独的概念因属性值或与其他概念的直接连接而异。系统的通信方面提供信息,允许为用户的语句生成正确的解释。

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