Geographic information is critical to GIS applications located remotely for executing business operations. GIS applications need to interoperate to be able to share information for analysis and decision making process. Heterogeneity and complexity of information models and structures limit the data flow and application interoperation. Advancements in Internet technologies provided new opportunities for delivering spatial information to remote users. However, spatial data delivered is in proprietary structures, limiting the utility to GIS applications. To enable information flow between GIS applications a portable data modeling approach is necessary. However, geographic information is inherently complex to model. A comprehensive and standardized vocabulary to model characteristics of geographic entities is required. Furthermore applications with the need to share information should have an agreement on information structure and content exchanged. This research presents GML representation to provide interoperable spatial data services. The objective is achieved by providing an open framework to model, encode and delivery geographic information. The results of this research show that it is possible to develop interoperable spatial data services through service oriented architecture.
| Identifer | oai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-3426 |
| Date | 11 December 2004 |
| Creators | Kanaparthy, Venu Madhav Singh |
| Publisher | Scholars Junction |
| Source Sets | Mississippi State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
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