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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
GIS, Data Mining, Spatial Data Infrastructure, Web Services, Geospatial Data
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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1 P. K. Virrantaus and F. I. G. Commission, “FROM GIS TO GEOGRAPHIC INFORMATION SCIENCE IN,” Sustainable Development, no. October, pp. 1-11, 2001.
2 R. Albertoni et al., “A VISUAL DATA MINING APPROACH FOR GEO-DATA SELECTION IN INVISIP,” Analysis, no. June, pp. 23-25, 2004.
3 J. Wang, Data Mining?: Opportunities and Challenges.2005 .
4 M. Hampe and S. Intas, “EXTENSION OF THE OGC WEB FEATURE SERVICE STANDARD FOR MULTIPLE REPRESENTATION DATA,” Information Sciences, no. July, pp. 12-14, 2006.
5 J. Srivastava, “Data Mining for Customer Relationship Management ( CRM ) Customer Relationship Management ( CRM ),” pp. 1-6.
6 M. Nagai, “Interoperability Arrangements for Geospatial Data.”,2010
7 S. Shekhar, “Spatial Data Mining and Geo-spatial Interoperability,” Knowledge Creation Diffusion Utilization,2009.
8 M. Vacura, “Web Service Composition for Deductive Web Mining: A Knowledge Modelling Approach,” Knowledge Creation Diffusion Utilization,2010.
9 M. Steinbach and V. Kumar, “Generalizing the Notion of Confidence,” Science.,2007
10 J.-rüdiger Sack, M. Sester, M. Worboys, and P. Van, “06101 Abstracts Collection Dagstuhl Seminar 06101 Report Spatial Data: mining , processing and communicating Joint work of: 06101 Group Challenges of GIScience - green + red topic list 06101 Group 3 Challenges of GIScience - green + red topic list Alexa,” Building, pp. 1-17.
11 K. Janowicz, “Similarity-Based Retrieval for Geospatial Se- mantic Web Services Specified using the Web Service Modeling Language ( WSML-Core ),” pp. 1-13.
12 E. Klien, “An extensible semantic catalogue for ( geospatial ) web services,” Arbeit, 2006.
13 D. Making, “Semantic Web-Service Interoperability for Geospatial Document Metadata,” pp. 1-36, 2008.
14 M. Lutz and E. Klien, “Overcoming Differences of Meaning during the Discovery and Retrieval of Geospatial Information in Spatial Data Infrastructures,” International Organization, 2004.
15 T. W. Group, “The SDI Cookbook,” Building, no. January, 2004.
16 E. K. S. A. Ghaffar, “Designing a methodology to develop Geographic Information Infrastructure to support Environmental Impact Assessment Geographic Information Infrastructure to support Environmental Impact assessment,” Earth, 2001.
17 M. Inoguchi, “Development of Information Supporting System for Japan-based Crisis Management by Using Intervention GIS,” System, no. 1, pp. 2-4, 1992.
18 S. Mohamed and H. Yu, “Integrated RM & ER Model of Flood Disaster SALEH MOHAMED,” Management, 2009.
19 J. Zhang, N. Okada, and H. Tatano, “Integrated Natural Disaster Risk Management ? Comprehensive and Integrated model and Chinese Strategy Choice,” Risk Management, pp. 115-128.
20 P. Relf and M. Matson, “ARM - Adaptive Risk Management Platform,” International Journal, 2009.
21 G. I. Systems, “GIS in the cloud,” Strategies, 2011.
22 R. Grossman, “Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere,” Design,2011.
Miss Eman ElAmir
Cairo University - Egypt
Professor Osman Hegazy
Cairo University - Egypt
Associate Professor Mohamed NourEldien
Cairo University - Egypt
Associate Professor Amr Ali
Benha University,Faculty of Engineering - Egypt