铜矿床领域本体的构建方法研究

发布时间：2018-03-05 16:28

本文选题：铜矿床　切入点：领域本体　出处：《中国矿业》2017年08期 　论文类型：期刊论文

【摘要】：我国铜矿成矿地质条件较好,但已探明的铜矿资源还不能完全满足国家建设的需要。按知识结构组织地质勘查资料可以有效管理和检索铜矿相关的地质资料和文献,但构建矿产资源领域本体的方法尚在探索中。本文提出了铜矿床领域本体的半自动化构建方法,能够将铜矿床的知识以本体的形式组织起来,从而进一步支撑我国的找矿工作。首先,通过参考相关专著和文献对我国铜矿床进行成因分类,按照行业相关总则和规范对各类型铜矿床进行相关描述,建立起铜矿床领域本体的概念模型。其次,添加各类铜矿床实例,并参考领域专家建议,完善铜矿床领域本体。最后,通过可视化的方式,在Protégé环境中实现了铜矿床领域本体的构建。通过该方法构建的铜矿床领域本体具有知识层次清晰、关系定义明确、实例丰富的特点,应用于地质资料检索中的精准推荐,为铜矿床资源信息的集成和共享打下基础。
[Abstract]:The ore-forming geological conditions of copper deposits in China are good, but the proven copper resources cannot fully meet the needs of national construction. Organizing geological exploration data according to the knowledge structure can effectively manage and retrieve the related geological data and documents of copper deposits. But the method of constructing mineral resources domain ontology is still in the process of being explored. In this paper, a semi-automatic construction method of copper deposit domain ontology is proposed, which can organize the knowledge of copper deposit in the form of ontology. In order to further support the prospecting work in China. First of all, by referring to relevant monographs and literature, we classify the origin of copper deposits in China, and describe each type of copper deposits according to the relevant general principles and norms of the industry. The conceptual model of domain ontology of copper deposit is established. Secondly, various examples of copper deposit are added, and the domain ontology of copper deposit is improved according to the advice of experts in the field. Finally, by means of visualization, The domain ontology of copper deposit is constructed in the environment of Prot 茅 g 茅. The domain ontology of copper deposit constructed by this method has the characteristics of clear level of knowledge, clear definition of relation and abundant examples, so it is applied to the accurate recommendation of geological data retrieval. It lays a foundation for the integration and sharing of copper deposit resource information.
【作者单位】：北京大学地球与空间科学学院;国土资源部地质信息技术重点实验室;北京大学地球科学国家级虚拟仿真实验教学中心;
【基金】：国土资源部公益性行业科研专项项目资助(编号:201511079) 国家重点研发计划“基于‘地质云’平台的深部找矿知识挖掘”资助(编号:2016YFC0600510)
【分类号】：P618.41

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