| 任雯倩,李丰丹,龚爱华,吕霞.地质调查数据资源描述框架构建方法研究[J].矿产勘查,2023,14(3):491-501 |
| 地质调查数据资源描述框架构建方法研究 |
| Research on the construction method of geological survey data resource description framework |
| 投稿时间：2022-10-15 |
| DOI：10.20008/j.kckc.202303014 |
| 中文关键词: 数据资源描述框架 实体系统 分类系统 地质调查智能空间 数据治理 |
| 英文关键词: data resources description framework physical system classification system geological survey intelligent space data governance |
| 基金项目:本文受中国地质调查局地质调查二级项目地质矿产智能化调查系统开发与应用(DD20190416)资助。 |
|
| 摘要点击次数: 1055 |
| 全文下载次数: 409 |
| 中文摘要: |
| 地质调查智能空间是为地质调查项目人员提供数据获取、组织、存储、集成、综合处理与发布的全过程应用服务的工作空间。为更快地发现、定位和获取地质调查智能空间中各种形态的地质调查数据资源,满足地质调查业务系统之间数据资源交换、集成、共享和发布的需要,促使野外调查、数据传输、数据处理与集成、数据分析评价与应用、数据共享服务等过程对数据的应用变得更加科学,并充分发挥数据价值,本文通过借鉴资源描述框架RDF描述资源的方法和面向对象的思想,研究构建了适用于地质调查智能空间的数据资源描述框架,定义了实体系统和分类系统以及各部分的关系和约束规则,使这些数据资源具有了可识别、可分类、可关联以及可扩展的特性,实现了对数据资源的统一描述,解决了不同数据模型之间的通讯问题,为统一调度与管理数据资源以及最大化挖掘价值奠定了基础。 |
| 英文摘要: |
| The geological survey intelligent space is a working space providing geological survey staff members with a whole package of application services from data acquisition, organization and storage to data, integration, comprehensive processing and release. It has been recognized essential to quickly detect, locate and obtain various forms of data resources in the geological survey intelligent space, so as to meet the requirements of data resources exchange, integration, sharing and release among different geological survey business systems, which in turn will promote more scientific application of data in field survey, data transmission, processing, integration, analysis, evaluation, sharing, etc. and give full play to the value of data. In this connection, the paper studies and constructs a data resource description framework suitable for geological survey intelligent space by referring to the method of resource description framework RDF. Furthermore, the entity system, classification system as well as the relationship and constraint rules of each part are defined, endowing the data resources with identifiable, classifiable, correlated and extensible features, realizing the unified description of data resources, facilitating the communication among different data models, and making perfect preparation for unified data scheduling and management as well as maximizing the data mining value. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|