IDEAS home Printed from https://ideas.repec.org/a/aes/dbjour/v2y2011i1p33-42.html
   My bibliography  Save this article

Modeling Spatial Data within Object Relational-Databases

Author

Listed:
  • Iuliana BOTHA

    (Academy of Economic Studies, Bucharest)

  • Anda Velicanu

    (Academy of Economic Studies, Bucharest)

  • Adela Bara

    (Academy of Economic Studies, Bucharest)

Abstract

Spatial data can refer to elements that help place a certain object in a certain area. These elements are latitude, longitude, points, geometric figures represented by points, etc. However, when translating these elements into data that can be stored in a computer, it all comes down to numbers. The interesting part that requires attention is how to memorize them in order to obtain fast and various spatial queries. This part is where the DBMS (Data Base Management System) that contains the database acts in. In this paper, we analyzed and compared two object-relational DBMS that work with spatial data: Oracle and PostgreSQL.

Suggested Citation

  • Iuliana BOTHA & Anda Velicanu & Adela Bara, 2011. "Modeling Spatial Data within Object Relational-Databases," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 2(1), pages 33-42, March.
    • Handle: RePEc:aes:dbjour:v:2:y:2011:i:1:p:33-42
    as

    Download full text from publisher

    File URL: http://dbjournal.ro/archive/3/4_Botha_Velicanu_Bara.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreea DIOSTEANU & Liviu Adrian COTFAS, 2009. "Agent Based Knowledge Management Solution using Ontology, Semantic Web Services and GIS," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(4), pages 90-98.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shaohua Wang & Xianxiong Liu & Haiyin Wang & Qingwu Hu, 2018. "A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    2. Liviu Adrian COTFAS & Dragos PALAGHITA & Bogdan VINTILA, 2010. "Audit Techniques for Service Oriented Architecture Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 128-136.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:dbjour:v:2:y:2011:i:1:p:33-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adela Bara (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.