基于OWL的森林资源数据智能化采集技术

Intelligentized data input of forest resources based on OWL

建立森林资源调查规范本体库是森林资源监测知识重用与共享的基础,可用于提高数据输入过程的智能化与规范化。该文利用OWL语言对森林资源调查本体进行了描述,建立了森林资源调查规范本体库,并基于Jena推理机技术推导调查因子间约束条件,以推导的调查领域知识为基础,开发了基于本体知识的逻辑检查与推理功能,支持森林资源调查软件的数据输入过程。结果表明,所提出的方法将调查输入软件从专业领域知识中分离,使之更通用,更易于维护和扩展,提高了调查输入软件的智能化与规范化程度。

Constructing ontology base of forest resource survey technical regulations is the foundation of knowledge reusing and sharing, and can improve the intelligentization and specialization of forest resource data input. By defining the ontology with OWL, the ontology base of forest resource survey knowledge was created. A complete set of rules among survey factors was inferred from ontology base based on JENA inference engine, and an inference technique was developed to support the intelligent input and logical check of data input software. As a consequence, the method in this paper can improve the commonality, maintainability and flexiblility of the software by separating the data input software from domain knowledge, and the intelligentization and specialization of the software are also enhanced.