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首页> 外文期刊>Journal of Volcanology and Geothermal Research >Knowledge engineering in volcanology: Practical claims and general approach
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Knowledge engineering in volcanology: Practical claims and general approach

机译:火山学知识工程:实践主张和一般方法

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摘要

Knowledge engineering, being a branch of artificial intelligence, offers a variety of methods for elicitation and structuring of knowledge in a given domain. Only a few of them (ontologies and semantic nets, event/probability trees, Bayesian belief networks and event bushes) are known to volcanologists. Meanwhile, the tasks faced by volcanology and the solutions found so far favor a much wider application of knowledge engineering, especially tools for handling dynamic knowledge. This raises some fundamental logical and mathematical problems and requires an organizational effort, but may strongly improve panel discussions, enhance decision support, optimize physical modeling and support scientific collaboration.
机译:知识工程是人工智能的一个分支,它提供了多种方法来启发和构造给定领域中的知识。火山学家只知道其中的少数几个(本体论和语义网,事件/概率树,贝叶斯信念网络和事件丛集)。同时,迄今为止火山学面临的任务和找到的解决方案有利于知识工程的广泛应用,尤其是处理动态知识的工具。这带来了一些基本的逻辑和数学问题,需要组织努力,但可能会大大改善小组讨论,增强决策支持,优化物理建模并支持科学合作。

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