SQL extension for spatio-temporal data

被引:0
|
作者
Jose R. Rios Viqueira
Nikos A. Lorentzos
机构
[1] University of Santiago de Compostela,Systems Laboratory, Department of Electronics and Computer Science, Instituto de Investigaciones Tecnológicas
[2] Agricultural University of Athens,Informatics Laboratory
来源
The VLDB Journal | 2007年 / 16卷
关键词
Spatial databases; Data modelling; Spatio-temporal databases; SQL;
D O I
暂无
中图分类号
学科分类号
摘要
An SQL extension is formalized for the management of spatio-temporal data, i.e. of spatial data that evolves with respect to time. The extension is dedicated to applications such as topography, cartography, and cadastral systems, hence it considers discrete changes both in space and in time. It is based on the rigid formalization of data types and of SQL constructs. Data types are defined in terms of time and spatial quanta. The SQL constructs are defined in terms of a kernel of few relational algebra operations, composed of the well-known operations of the 1NF model and of two more, Unfold and Fold. In conjunction with previous work, it enables the uniform management of 1NF structures that may contain not only spatio-temporal but also either purely temporal or purely spatial or conventional data. The syntax and semantics of the extension is fully consistent with the {SQL:2003} standard.
引用
收藏
页码:179 / 200
页数:21
相关论文
共 50 条
  • [21] A Spatio-temporal Data Compression Algorithm
    Wang, Lei
    Guo, Yiming
    Chen, Chen
    Yan, Yaowei
    2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 421 - 424
  • [22] Additive models with spatio-temporal data
    Fang, Xiangming
    Chan, Kung-Sik
    ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2015, 22 (01) : 61 - 86
  • [23] RFID spatio-temporal data management
    Yonghui, W. (yonghuiwang@sjzu.edu.cn), 2013, Universitas Ahmad Dahlan, Jalan Kapas 9, Semaki, Umbul Harjo,, Yogiakarta, 55165, Indonesia (11):
  • [24] Querying Uncertain Spatio-Temporal Data
    Emrich, Tobias
    Kriegel, Hans-Peter
    Mamoulis, Nikos
    Renz, Matthias
    Zuefle, Andreas
    2012 IEEE 28TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2012, : 354 - 365
  • [25] Modelling spatio-temporal environmental data
    Rasinmäki, J
    ENVIRONMENTAL MODELLING & SOFTWARE, 2003, 18 (10) : 877 - 886
  • [26] Prediction of spatio-temporal AQI data
    Kim, Kyeong Eun
    Ma, Mi Ru
    Lee, Kyeong Won
    COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2023, 30 (02) : 119 - 133
  • [27] Linkage of Spatio-Temporal Data and Trajectories
    Karapiperis, Dimitrios
    Gkoulalas-Divanis, Aris
    Verykios, Vassilios S.
    2019 5TH IEEE INTERNATIONAL SMART CITIES CONFERENCE (IEEE ISC2 2019), 2019, : 766 - 771
  • [28] Spatio-Temporal Data Handling with Constraints
    Stéphane Grumbach
    Philippe Rigaux
    Luc Segoufin
    GeoInformatica, 2001, 5 : 95 - 115
  • [29] A Survey of Spatio-Temporal Data Warehousing
    Gomez, Leticia
    Kuijpers, Bart
    Moelans, Bart
    Vaisman, Alejandro
    INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 2009, 5 (03) : 28 - 55
  • [30] What Is Spatio-Temporal Data Warehousing?
    Vaisman, Alejandro
    Zimanyi, Esteban
    DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 2009, 5691 : 9 - +