Abstract To solve the problem brought from enormous policy documents and complex management in the social security domain, the article uses ontology as the way of representing and storing knowledge. The article first constructs the framework of ontology through manual work so that it can ensure the relative accuracy of the ontology structure. Then it achieves the automatic ontology expansion based on the inclusion relationship of property sets or operational object sets. The article uses a semi-automatic method that extracts hierarchical concepts and non-hierarchical concepts from domain thesaurus by using the method combining statistics with rules to construct the ontology. Besides constructing the ontology, the article proposes the concepts of concept phrase vector model and high frequency characteristics phrase vector model. The experiment result indicates that ontology semi-automatic construction process can help experts to construct the social security ontology effectively oriented on massive policy documents and is a considerable reference for the construction of ontology in other domains.

中文翻译：

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一种面向海量社保政策文件的本体构建技术

摘要 针对社会保障领域政策文件庞大、管理复杂所带来的问题，本文采用本体作为知识的表示和存储方式。文章首先通过手工构建本体的框架，以保证本体结构的相对准确性。然后实现基于属性集或操作对象集的包含关系的本体自动扩展。本文采用半自动的方法，通过统计与规则相结合的方法，从领域词库中提取层次概念和非层次概念，构建本体。在构建本体的基础上，本文提出了概念短语向量模型和高频特征短语向量模型的概念。