We summarize the common GIS problems in a general context (Option 2) as
..........-....geospatial (or geographic) data access and integration
..........-....coupling the data grid with service grid
..........-....unified queries for integrated data
..........-....integrated data display
..........-....interactive smart visualization tools
..........-....performance
and discuss and propose our approaches to these problems.
These issues are undeniably the crucial points of the numerous research and development efforts. Especially the problems related to the data and storage heterogeneites are being addressed by a number of groups and organizations some of which also offer solutions to the application level interoperability issues.
We generally focus on the issues in terms of GIS and geographic data, but findings and recommendations are relevant for any other science domains and data types.
Below I summarized these issues as my thesis prospectus:
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Summary of my thesis prospectus:
We investigate the issues pertaining to the traditional Geographic Information Systems (GIS)approaches and propose solutions to these problems based on modern Service Oriented Grids approaches. As in general science domains, GIS requires decision making and situation assessment based on integrated data display. We generally focus on the issues in terms of GIS and geographic data, but findings and recommendations are relevant for any other science domains and data types.
GIS is a system of computer software, hardware, and data used to manipulate, analyze, and graphically present a potentially wide array of information associated with geographic locations. GIS’s powerful ability to integrate different kinds of information about a physical location can lead to better informed decisions about public investments in infrastructure and services—including national security, law enforcement, health care, and the environment—as well as a more effective and timely response in emergency situations. However, long-standing challenges to data sharing and integration need to be addressed before the benefits of geographic information systems can be fully realized. Our focus regarding data integration is different from the Database or digital library communities. We deal with the integration at the higher level than they do and we try to utilize their approaches at the bottom level by proposing generic mediator services.
Our work is about developing a Web Services architecture that provides coupling of scientific geophysical applications with archival data through the innovative interactive smart decision making tools. This work can be detailed in a couple of sub-research areas such as: accessing and querying heterogeneous data provided by heterogeneous storages with unified query structures, developing GIS data services, considering performance issues of transferring, parsing and rendering of large geographic data, and composition of GIS services.
In the light of the explanations above we categorize our work as below:
1. Heterogeneous and distributed data integration (Data Grid) through mediator services
.........o Different data types
.........o Different storage types
2. Coupling Geo-Science Grid with Data Grid
.........o Integrating Web Map Services with Geo-Science Grid
.........o Enabling decision making through integrated data display (3-layered display structure)
.........o Creating view-level integration structure. View is abstracted as layers in GIS domain.
.........o Creating generic plotting Web Services (Sci-Plot) in order to couple Geo-Science Grid outputs with its inputs (from data grid) at the view level.
3. Interactive and smart decision making tools
.........o Coupling interface for browser based remote access
.........o Data/information display
.........o Interactive querying and mining the data
.........o Visualization and analysis of the data and Science Grid simulation outputs
.........o Movies and animations tools over time-series data
4. Performance
.........o Accessing remote large data sets provided by geographically distributed data vendors.
.........o Transferring, integrating, processing and interpreting data.
.........o Proposing: High-performance streaming data services through messaging middleware.
.........o Proposing: Advanced pre-fetching, caching and load balancing techniques.
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Special note to Professor Geoffrey: As you realized I was confused with options 1 and 2. My previous document was according to the idea you named as Option-2. The above statements are summary of my upcoming document in option-2. Once I am done with it I will send to you.
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