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Integrating Web Services With Geospatial Data Mining Disaster Management for Road Accidents
Eman ElAmir, Osman Hegazy, Mohamed NourEldien, Amr Ali
Pages - 1 - 11     |    Revised - 15-03-2012     |    Published - 16-04-2012
Volume - 2   Issue - 1    |    Publication Date - April 2012  Table of Contents
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KEYWORDS
GIS, Data Mining, Spatial Data Infrastructure, Web Services, Geospatial Data
ABSTRACT
Data Mining (DM) and Geographical Information Systems (GIS) are complementary techniques for describing, transforming, analyzing and modeling data about real world system. GIS and DM are naturally synergistic technologies that can be joined to produce powerful market insight from a sea of disparate data. Web Services would greatly simplify the development of many kinds of data integration and knowledge management applications. This research aims to develop a Spatial DM web service. It integrates state of the art GIS and DM functionality in an open, highly extensible, web-based architecture. The Interoperability of geospatial data previously focus just on data formats and standards. The recent popularity and adoption of Web Services has provided new means of interoperability for geospatial information not just for exchanging data but for analyzing these data during exchange as well. An integrated, user friendly Spatial DM System available on the internet via a web service offers exciting new possibilities for geo-spatial analysis to be ready for decision making and geographical research to a wide range of potential users.
CITED BY (1)  
1 ElAmir, E., Hegazy, O., NourEldien, M., & Ali, A. H. (2012). Applying Association Rules and Co-location Techniques on Geospatial Web Services.
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Miss Eman ElAmir
Cairo University - Egypt
eman.elamir@gmail.com
Professor Osman Hegazy
Cairo University - Egypt
Associate Professor Mohamed NourEldien
Cairo University - Egypt
Associate Professor Amr Ali
Benha University,Faculty of Engineering - Egypt