大数据环境下领域本体构建框架研究

Research on Construction Framework of Domain Ontology for Big Data

本文提出一种面向大数据的普适的领域本体构建方法,旨在为大数据环境下的领域本体构建提供方法论指导。通过调研大规模应用中的领域本体构建,总结能够为大数据本体建设提供的参考,提出大数据环境下构建领域本体的方法论,应用此方法构建一个养生领域本体。按照本文领域本体构建方法所构建的养生领域本体较之其他领域本体,具有可重用性、可扩展性等优点,因此,该研究可为大数据环境下快速而有效地构建领域本体提供借鉴。

This paper proposes a universal domain ontology construction method for big data, provides methodological guidance for building domain ontology. Based on the research on domain ontology in large-scale application, it summarizes conclusions for construction of domain ontology for big data, proposes methodological frameworks for building domain ontology that can build a Yangsheng domain ontology. Compared with other domain ontology, the domain ontology of Yangsheng according to methodology has some outstanding features, such as reusability, scalability, etc.. Therefore, this paper provides reference to quickly build domain ontology in the big data era.