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Wenzl Peter

A Technical Concept for Pay-per-Use in Geomarketing Services


Motivation

At this moment, GI providers sell geographical and statistical data in packages, and Geomarketing functions are performed locally in complex systems. Smaller companies can not afford such systems, and they have information need only from time to time. A solution which offers geomarketing information as a service over the net is the answer: minimal initial investment, and payments comparable to the use of the data. This thesis shall investigate and develop a technical concept for a pay-per-use mechanism for an electronic geodata commerce.The focus is on the problem of ownership in data: the user will receive data in an encrypted form (and owned by the service provider); for each use of the data, the user must pay. The provider requires a secure method to assure that the user can not use the data without payment.

The analysis the user performs with the data and using software from the provider entails the functionality of SQL with some extra procedures to allow spatial analysis. The data provided in build (eg. on a CD-ROM) will be augmented by updates to them, but the user has also the ability to combine the providers data with his own data for analysis.

Hypothesis

We can formally model and show how the stream of data flows in this environment, and that any time the customer uses the data the provider gets a message. In this model, we can proof that all streams are secure and whenever data from the provider is used, payment data is collected, and that the providers data cannot leave the environment.

Procedure

Start with studying the GISMO project, where this topic is embedded in. Describe informally the setting, the data flow, the required protocol mechanisms, and find out the related objects and methods (or functions).

Abstract the informal description: develop a formal model of the stream of data flows in this environment in HASKELL. The formal model shall prove the hypothesis without going into implementational details.

In the third step implement the model with JAVA and test your implementation with real data sets (from GISMO partners). Re-use as far as possible libraries available. As a result, you should be able to demonstrate your specified model (perhaps with limited functionality) in relevant examples.


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