Large documents written in juridical language are difficult to interpret,
with long sentences leading to intricate and intertwined relations between the
nouns. The present paper frames this problem in the context of recent European
security directives. The complexity of their language is here thwarted by
automating the extraction of the relevant information, namely of the parts of
speech from each clause, through a specific tailoring of Natural Language
Processing (NLP) techniques. These contribute, in combination with ontology
development principles, to the design of our automated method for the
representation of security directives as ontologies. The method is showcased on
a practical problem, namely to derive an ontology representing the NIS 2
directive, which is the peak of cybersecurity prescripts at the European level.
Although the NLP techniques adopted showed some limitations and had to be
complemented by manual analysis, the overall results provide valid support for
directive compliance in general and for ontology development in particular.

本文探讨了长句等复杂问题会增加法律文件的解释难度，提出了运用 NLP 技术和本体论发展原则将安全指令转化为本体论的自动化方法，并在欧洲最高级别的网络安全预防指令 NIS 2 上进行了案例研究，表明该方法可支持指令控制和本体论发展。