Geospatial Web Services: An Evolution of Geospatial Data Infrastructure Athanasios Tom Kralidis...
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![Page 1: Geospatial Web Services: An Evolution of Geospatial Data Infrastructure Athanasios Tom Kralidis Department of Geography and Environmental Studies Carleton.](https://reader035.fdocuments.us/reader035/viewer/2022062516/56649d5a5503460f94a3a384/html5/thumbnails/1.jpg)
Geospatial Web Services:An Evolution of
Geospatial Data Infrastructure
Athanasios Tom KralidisDepartment of Geography and Environmental Studies
Carleton University07 February 2005
![Page 2: Geospatial Web Services: An Evolution of Geospatial Data Infrastructure Athanasios Tom Kralidis Department of Geography and Environmental Studies Carleton.](https://reader035.fdocuments.us/reader035/viewer/2022062516/56649d5a5503460f94a3a384/html5/thumbnails/2.jpg)
Sections
Background and Progress of Thought Importance of Thesis Key Areas Future Research
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Background and Progress of Thought
Undergraduate Degree (York University)• Urban / Social Geography
GIS and Technology (Algonquin College)• GIS applications and technology
Professional (CGDI)• Data Handling• Internet Mapping
Graduate Degree (Carleton University)• Geospatial Data Infrastructure• Interoperability• Web Services
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Importance of Thesis
New Approach of Geospatial Data Handling Paradigm Shift Focus on
• Data Access
• Data Handling
• Data Integration
• Internet Enabling with Geospatial Web Standards
Academic Arena
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Early work
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Progress
![Page 7: Geospatial Web Services: An Evolution of Geospatial Data Infrastructure Athanasios Tom Kralidis Department of Geography and Environmental Studies Carleton.](https://reader035.fdocuments.us/reader035/viewer/2022062516/56649d5a5503460f94a3a384/html5/thumbnails/7.jpg)
owsview
![Page 8: Geospatial Web Services: An Evolution of Geospatial Data Infrastructure Athanasios Tom Kralidis Department of Geography and Environmental Studies Carleton.](https://reader035.fdocuments.us/reader035/viewer/2022062516/56649d5a5503460f94a3a384/html5/thumbnails/8.jpg)
Two Tier Approach
Application
Data
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Three Tier Approach
Services
Applications
Data
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Benefits and Challenges
Benefits• Flexible
• Plug-and-Play
• Consistent
• Just-in-Time
• Ubiquitous
• Lowered Cost/Buy-in
• Enables Authority
• Multi-Vendor
Challenges• Supportive Policy
• Change / Adaptation
• Performance / Failover
• Advanced Processing
• Digital Rights
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Future Research
Semantics Uptake in Organizations Communities (supply vs. demand) Geoprocessing Digital Rights Human Resource Issues (GIS vs. IM/IT)
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Conclusion
Questions Comments
Thanks!