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数据分析与知识发现  2019, Vol. 3 Issue (3): 1-13     https://doi.org/10.11925/infotech.2096-3467.2018.0321
  综述评介 本期目录 | 过刊浏览 | 高级检索 |
时空数据建模方法研究综述*
李旭晖(),刘洋
武汉大学信息管理学院 武汉 430072
Review of Spatio-temporal Data Modeling Methods
Xuhui Li(),Yang Liu
School of Information Management, Wuhan University, Wuhan 430072, China
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摘要 

【目的】总结时空数据建模方法, 以期为时空知识的组织和管理研究提供理论基础。【文献范围】在百度学术、谷歌学术、EI、CNKI中分别以检索式“时空数据模型”、“spatio-temporal data model”在限定时间范围、期刊类型内进行文献检索, 获得部分相关文献, 根据研究主题相关程度筛选最终获得64篇相关文献。【方法】根据建模对象的抽象层次对时空数据模型进行分类, 分别从物理层、逻辑层和应用层三个层次对时空数据模型的相关研究进行综述。【结果】近年来物理层对时空数据模型的研究主要侧重于对以往模型的修正, 应用层的时空数据模型集中于满足各领域具体需求, 而逻辑层的研究在表达能力方面有待改进。【局限】不同层次的时空数据模型横向对比研究较少。【结论】未来大规模的时空信息管理和利用, 将为时空数据建模的深入发展提供广阔的空间。

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李旭晖
刘洋
关键词 时空数据模型物理层逻辑层应用层    
Abstract

[Objective] This paper aims to summarize spatio-temporal data modeling methods to provide a theoretical basis for the study of the organization and management of space-time knowledge. [Coverage] Literature search was conducted using the “spatial-temporal data model” and “spatio-temporal data model”, respectively, within a limited time frame and journal type, in Baidu Academic, Google Scholar, CNKI, and Engineering Village. Some relevant documents were obtained and screened according to the degree of relevance of the research topic. Finally we chose 64 related documents to review. [Methods] The spatio-temporal data model is classified according to the level of abstraction of the modeled objects, and the related researches on the spatio-temporal data model are summarized from three levels of the physical layer, logic layer and application layer. [Results] In recent years, the studies of the spatio-temporal data model in the physical layer mainly focused on the revision of the previous model. The spatio-temporal data models of the application layer focused on satisfying the specific needs of various fields. However, the researches on the logic layer need to be improved in terms of expression ability. [Limitations] There are few horizontal comparison studies of spatial-temporal data models at different levels. [Conclusions] Large-scale space-time information management and utilization will provide broad space for development of space-time data modeling in the future.

Key wordsSpatio-temporal Data Model    Physical Layer    Logical Layer    Application Layer
收稿日期: 2018-03-23      出版日期: 2019-04-17
基金资助:*本文系国家自然科学基金重大研究计划“大数据驱动的管理与决策研究”重点支持项目“基于知识关联的金融大数据价值分析、发现及协同创造机制”(项目编号: 91646206)、“大数据环境下的知识组织与服务创新”(项目编号: 71420107026)和教育部人文社会科学重点研究基地重大项目“大数据资源的语义表示与组织研究——面向文化遗产领域”(项目编号: 16JJD870002)的研究成果之一
引用本文:   
李旭晖,刘洋. 时空数据建模方法研究综述*[J]. 数据分析与知识发现, 2019, 3(3): 1-13.
Xuhui Li,Yang Liu. Review of Spatio-temporal Data Modeling Methods. Data Analysis and Knowledge Discovery, 2019, 3(3): 1-13.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.0321      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2019/V3/I3/1
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