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地质数据本体构建及其在数据检索中的应用
引用本文:吴永亮,陈建平,贾志杰,徐彬. 地质数据本体构建及其在数据检索中的应用[J]. 地质通报, 2018, 37(5): 945-953
作者姓名:吴永亮  陈建平  贾志杰  徐彬
作者单位:中国地质大学(北京)地球科学与资源学院;北京市国土资源信息研究开发重点实验室;中国航天标准化与产品保证研究院
基金项目:国土资源部公益性行业科研专项项目《地质大数据技术研究与应用试点》(编号:201511079-02)
摘    要:针对传统以关键词、主题词等字符串匹配为核心的地质数据检索方法存在的查不全、查不准的问题,给出了基于地质数据本体的语义级检索解决方案。通过对地质数据的概念、属性、关系、规则及相应实例的详细表达,构建了地质数据本体(矿产资源预测部分),搭建数据检索系统并开展了应用实践。实验表明,引入地质数据本体后,检索结果在数据的查全率和查准率方面显著提高,并能智能推送相关联的数据信息。开发的地质大数据专题检索系统,实现了对局域网中多源异构地质数据的获取、半自动化标注和语义关联检索,满足地质大数据应用服务的需求,对于大数据时代背景下地质数据的精确发现、深层挖掘及共享有重要意义。

关 键 词:地质数据  本体  检索系统
收稿时间:2016-12-29
修稿时间:2017-03-20

The construction of geological data ontology and its application to data retrieval
WU Yongliang,CHEN Jianping,JIA Zhijie and XU Bin. The construction of geological data ontology and its application to data retrieval[J]. Geologcal Bulletin of China, 2018, 37(5): 945-953
Authors:WU Yongliang  CHEN Jianping  JIA Zhijie  XU Bin
Affiliation:School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China;China Academy of Aerospace Standardization and Product Assurance, Beijing 100071, China,School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China,School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China and School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Development and Research for Land Resources Information, Beijing 100083, China
Abstract:In view of the problem that the data retrieval by traditional searching methods based on keywords and topic words cannot satisfy the real needs that emerge in the geological data research, this study provides a solution for semantic level retrieval. A geologi-cal data ontology model related to mineral resource predication is built through a detailed expression of the concepts, characteristics, relationship and instances. The geological data linked retrieval system is established. By associating the geological data ontology, the experiment in this research proves that the proposed ontology shows a significant improvement in data discovery. The linked retrieval system could obtain the geological data in local area network and research relatively in semantic level to meet the requirement of big data application service. The application of geological data ontology in this paper will have an important significance for the accurate data discovery, data tapping and data sharing in the era of geological big data.
Keywords:geological data  ontology  retrieval system
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