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http://dx.doi.org/10.7848/ksgpc.2012.30.3.287

Implementation of Open Source SOLAP Decision-Making System for Livestock Epidemic Surveillance and Prevention  

Kyung, Min-Ju (세종대학교 공간정보공학과)
Yom, Jae-Hong (세종대학교 공간정보공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.30, no.3, 2012 , pp. 287-294 More about this Journal
Abstract
The spread of infectious diseases in the event of livestock is getting faster and the route of spread gets more varied. It is important for the responsible agency to detect early and establish a prevention and surveillance system. If the spread cannot be contained effectively, great damage and loss will be inevitable in terms of social, environment and economic aspects as well as the welfare of the farmers. At present in Korea, a web-based Infectious Livestock Diseases Statistics System (AIMS: Animal Infectious Disease Data Management System) has been already implemented for this purpose and the service is available to the general public. But this system does not provide geospatial information and does not provide support for decision making and does not provide multi-dimensional information. In this study, an open source-based SOLAP (Spatial On-Line Analytical Processing) technology is applied to enable many diverse forms of data analysis from many aspects to support decision making. The SOLAP system was designed to integrate geospatial information and the analysis of information has been largely divided into map-based analysis and table-based analysis.
Keywords
Livestock; Epidemic; Surveillance; Decision making system; Geospatial Information; Open Source; SOLAP;
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