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Knowledge management of cyber security expertise: an ontological approach to talent discovery

机译:网络安全专业知识管理:人才发现的本体论方法

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Cyber security is a dynamic knowledge environment, where attracting talented people is paramount. However, current initiatives do not always use mechanisms able to search for suited individuals. Approaching cyber security as an organisation can help to manage capabilities and improve domain-oriented talent discovery. This paper presents an ontological approach to support talent discovery as a means of improving allocation of expertise for cyber security projects. A case study is conducted among experts in a cyber security community. Our method is capable of selecting, ranking and evaluating experts given a set of criteria specified in a project profile. The approach combines values of quantitative and qualitative nature provided by the profile owner and derived from external appraisals. Further, the ontology model delivers a systematic integration of talent practices, which embeds a feedback loop that favours ongoing continuous improvement. The model was successfully experimented and further appraised in terms of acceptance by a board of experts.
机译:网络安全是一个动态的知识环境,在这里吸引人才至关重要。但是,当前的举措并不总是使用能够搜索合适个人的机制。将网络安全作为一个组织来帮助管理能力并改善面向领域的人才发现。本文提出了一种支持人才发现的本体论方法,以此作为改进网络安全项目专业知识分配的一种手段。在网络安全社区的专家中进行了案例研究。根据项目配置文件中指定的一组标准,我们的方法能够选择,排名和评估专家。该方法结合了配置文件所有者提供并从外部评估得出的定量和定性性质的值。此外,本体模型提供了人才实践的系统集成,从而嵌入了有利于持续不断改进的反馈循环。该模型已成功进行了实验,并得到了专家委员会的接受程度进一步评估。

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