alexa A Framework for Spatial On-Line Analytical Process
ISSN: 2319-9873

Research & Reviews: Journal of Engineering and Technology
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Research Article

A Framework for Spatial On-Line Analytical Process

M Laxmaiah1*, K Sunil Kumar2, and C Sunil Kumar3

1Tirumala Engineering College, JNT University, Hyderabad, Andhra Pradesh, India.

2Vaageswari College of Engineering, Karimnagar, JNT University, Hyderabad, Andhra Pradesh, India.

3Vaageswari College of Engineering, Karimnagar, JNT University, Hyderabad, Andhra Pradesh, India.

Corresponding Author:
M Laxmaiah
Tirumala Engineering College
JNT University, Hyderabad, Andhra Pradesh, India.

Received: 01/02/2013 Revised: 17/02/2013 Accepted: 26/06/2013

 

Abstract

Data Warehouse (DW) is topic-oriented, integrated, static datasets which are used to support decision-making. Driven by the constraint of mass spatio-temporal data management and application, Spatio-Temporal Data Warehouse (STDW) was put forward, and many researchers scattered all over the world focused their energy on it. Although the research on STDW is going in depth , there are still many key difficulties to be solved, such as the design principle, system framework, spatio-temporal data model (STDM), spatio-temporal data process (STDP), spatial data mining (SDM) and etc. In this paper, the concept of STDW is discussed, and analyzes the organization model of spatio-temporal data. Based on the above, a framework of STDW is composed of data layer, management layer and application layer. The functions of STDW should include data analysis besides data process and data storage. When users apply certain kind of data services, STDW identifies the right data by metadata management system, then start data processing tools to form a data product which serves the data mining and OLAP. All varieties of distributed databases (DDBs) make up data sources of STDW, including Digital Elevation Model (DEM), Diagnosis-Related Group (DRG), Data Locator Group (DLG), Data Objects Management (DOM), Place Name and other databases in existence. The management layer implements heterogeneous data processing, metadata management and spatio-temporal data storage. The application layer provides data products service, multidimensional data cube, data mining tools and on-line analytical process.

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