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Inferring over functionally equivalent ontologies

机译:推断功能上等效的本体

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Knowledge can be defined as a fact or state which is based on gathered information, experiences and association. Storing and gathering knowledge is an actual issue in artificial intelligence, health care and manufacturing. Ontologies use mechanism that offers inferring of the new facts out of explicitly given ones. We have used this feature for solving a logic riddle. The speed of inferring facts/knowledge is crucial. This paper presents several experiments with various versions of ontological model and compares inferring speed of the chosen riddle within these models.
机译:知识可以定义为基于收集的信息,经验和关联的事实或状态。存储和收集知识是人工智能,医疗保健和制造业中的实际问题。本体使用一种机制,可以从明确给出的事实中推断出新事实。我们已使用此功能解决逻辑难题。推论事实/知识的速度至关重要。本文介绍了使用不同版本的本体模型进行的几次实验,并比较了在这些模型中选定谜语的推断速度。

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