List of Journals    /    Call For Papers    /    Subscriptions    /    Login
 
 
 
 
 SEARCH
By Author By Title
 
 
ABOUT CSC
 About CSC Journals
 CSC Journals Objectives
 List of Journals
 CALL FOR PAPERS
 Call For Papers CFP
 Special Issue CFP
AUTHOR GUIDELINES
 Submission Guidelines
 Peer Review Process
 Helpful Hints For Getting Published
 Plagiarism Policies
 Abstracting & Indexing
 Open Access Policy
 Submit Manuscript
 FOR REVIEWERS
 Reviewer Guidelines
 FOR EDITORIAL
 Editor Guidelines
 Join Us As Editor
 Launch Special Issue
 Suggest New Journal
 CSC LIBRARY
 Browse CSC Library
 Open Access Policy
  SERVICES
 Conference Partnership Program (CPP)
 Abstracting & Indexing
 SUBSCRIPTIONS
 Subscriptions
 Discounted Packages
 Archival Subscriptions
 How to Subscribe
 Librarians
 Subscriptions Agents
 Order Form
 DOWNLOADS
 
 
 
 
Integrating Web Services With Geospatial Data Mining Disaster Management for Road Accidents
Full text
 PDF(1.1MB)
Source 
Geoinformatica - An International Journal (GIIJ)
Table of Contents
Download Complete Issue    PDF(2.3MB)
Volume:  2    Issue:  1
Pages:  NULL
Publication Date:   April 2012
ISSN (Online): 2180-1231
Pages 
1 - 11
Author(s)  
Eman ElAmir - Egypt
Osman Hegazy - Egypt
Mohamed NourEldien - Egypt
Amr Ali - Egypt
 
Published Date   
16-04-2012 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   GIS, Data Mining, Spatial Data Infrastructure, Web Services, Geospatial Data 
 
 
No record found
 
 
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.  
 
 
 
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.
 
 
 
 
 
 
 
 
Eman ElAmir : Colleagues
Osman Hegazy : Colleagues
Mohamed NourEldien : Colleagues
Amr Ali : Colleagues  
 
 
 
  Untitled Document
 
Copyrights (c) 2012 Computer Science Journals. All rights reserved.
Best viewed at 1152 x 864 resolution. Microsoft Internet Explorer.
 
  
 
Copyrights & Usage: Articles published by CSC Journals are Open Access. Permission to copy and distribute any other content, images, animation and other parts of this website is prohibited. CSC Journals has the rights to take action against individual/group if they are found victim of copying these parts of the website.