极地研究 ›› 2018, Vol. 30 ›› Issue (1): 77-87.DOI: 10.13679/j.jdyj.20170011

• 研究论文 • 上一篇    下一篇

考虑空间关系的极地科学数据本体表达与构建方法研究

黄冬梅1 张倩1 王建1 魏泉苗2 史景聪1 朱建钢3   

  1. 1. 上海海洋大学, 上海 201306
    2. 国家海洋局东海分局, 上海 200136
    3. 中国极地研究中心, 上海 200136
  • 收稿日期:2017-04-21 修回日期:2017-06-09 出版日期:2018-03-30 发布日期:2018-03-30
  • 通讯作者: 王建
  • 基金资助:

    海洋公益性行业科研专项(201405031-05)和南北极环境综合考察与评估专项(CHINARE2016-04-07)资助

Research on the representation and the construction of polar scientific data ontology based on spatial relations

Huang Dongmei1, Zhang Qian1, Wang Jian1, Wei Quanmiao2, Shi Jingcong1, Zhu Jiangang3   

  • Received:2017-04-21 Revised:2017-06-09 Online:2018-03-30 Published:2018-03-30
  • Contact: wang jian

摘要:

两极是世界各国关注和研究的热点地区, 极地科学数据量飞速增长, 如何高效地管理极地科学数据
并提供数据的智能服务, 已成为极地数据库研究的重点。针对目前以关键词和主题词等字符匹配为核心的
数据库查询中存在的查不全、查不准等问题, 以中国南北极数据中心的元数据库作为数据源, 引入本体论思
想, 提出了考虑空间关系的极地科学数据本体构建方法, 研究了极地科学数据的语义概念、属性及语义关系,
着重考虑了空间关系在本体构建中的形式化表示模型; 设计了考虑空间关系的极地本体总体框架; 最后,
利用本体构建工具实现了极地科学数据本体库的搭建。考虑空间关系的极地科学数据本体库的建立对极地
科学数据的精确发现和信息共享提供了有力的支撑。

关键词: 极地科学数据, 空间关系, 本体, protégé

Abstract:

The polar region is currently a focus of worldwide attention and an area of active research. The rapid
growth of multidisciplinary polar science data has led to the need for effective management of these data and
for the provision of intelligent data services. To overcome problems such as incomplete and/or inaccurate
data retrievals in a data sharing platform based on key words and subjects, this paper proposes a polar science
data ontology library based on spatial relations. First, the method of construction of polar science data
ontology is discussed in terms of spatial relations by studying the semantic concepts, attributes, and relations
of polar science data. This is undertaken in conjunction with the formal representation model of spatial relations
in ontology construction, based on the metadatabase of the Chinese National Arctic and Antarctic Data
Center, and the concept of ontology. Then, a general framework of polar ontology is designed with consideration
of spatial relations. Finally, a polar science data ontology library is built using ontology construction
tools.

Key words: polar science data, spatial relations, ontology, protégé