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A Hybrid Approach to Developing a Cyber Security Ontology

机译:开发网络安全本体的混合方法

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The process of developing an ontology cannot be fully automated at the current state-of-the-art. However, leaving the tedious, time-consuming and error-prone task of ontology development entirely to humans has problems of its own, including limited staff budgets and semantic disagreements between experts. Thus, a hybrid computer/expert approach is advocated. The research challenge is how to minimize and optimally organize the task of the expert(s) while maximally leveraging the power of the computer and of existing computer-readable documents. The purpose of this paper is two-fold. First we present such a hybrid approach by describing a knowledge acquisition tool that we have developed. This tool makes use of an existing Bootstrap Ontology and proposes likely locations of concepts and semantic relationships, based on a text book, to a domain expert who can decide on them. The tool is attempting to minimize the number of interactions. Secondly we are proposing the notion of an augmented ontology specifically for pedagogical use. The application domain of this work is cyber-security education, but the ontology development methods are applicable to any educational topic.
机译:开发本体的过程不能在当前的最先进时完全自动化。然而,完全对人类的繁琐,耗时和易于易于易于的本体开发任务存在自己的问题,包括有限的员工预算和专家之间的语义分歧。因此,主张混合计算机/专家方法。研究挑战是如何最大限度地减少和最佳地组织专家的任务,同时最大限度地利用计算机的功率和现有的计算机可读文档。本文的目的是双重的。首先,我们通过描述我们开发的知识获取工具来提出这种混合方法。此工具利用现有的引导本体,并提出基于文本书籍的概念和语义关系的可能位置,以便可以决定它们的域专家。该工具正在尝试最小化交互的数量。其次,我们建议专门用于教学用途的增强本体的概念。本工作的应用领域是网络安全教育,但本体论的开发方法适用于任何教育主题。

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