SEMANTIC CLASSIFICATION OF VARIABLE DATA CAMPAIGN INFORMATION
First Claim
1. A method of semantically classifying variable data campaign information comprising:
- loading, by a processing device, a variable data campaign from a computer readable storage medium operably connected to the processing device;
extracting, by the processing device, variable data from the campaign;
semantically classifying, by the processing device, the variable data to produce semantically classified variable data;
building, by the processing device, a variable data campaign model based upon the semantically classified variable data; and
storing, by the processing device, the variable data campaign model in the computer readable storage medium.
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Abstract
A method and system for semantically classifying variable data campaign information. The method and system include loading, by a processing device, a variable data campaign from a computer readable storage medium operably connected to the processing device; extracting, by the processing device, variable data from the campaign; semantically classifying, by the processing device, the variable data to produce semantically classified variable data; building, by the processing device, a variable data campaign model based upon the semantically classified variable data; and storing, by the processing device, the variable data campaign model in the computer readable storage medium.
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Citations
20 Claims
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1. A method of semantically classifying variable data campaign information comprising:
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loading, by a processing device, a variable data campaign from a computer readable storage medium operably connected to the processing device; extracting, by the processing device, variable data from the campaign; semantically classifying, by the processing device, the variable data to produce semantically classified variable data; building, by the processing device, a variable data campaign model based upon the semantically classified variable data; and storing, by the processing device, the variable data campaign model in the computer readable storage medium. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for semantically classifying variable data campaign information comprising:
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a processing device; and a computer readable storage medium in communication with the processing device, wherein the computer readable medium comprises one or more programming instructions for; loading, by the processing device, a variable data campaign from the computer readable storage medium operably connected to the processing device, extracting, by the processing device, variable data from the campaign, semantically classifying, by the processing device, the variable data to produce semantically classified variable data, building, by the processing device, a variable data campaign model based upon the semantically classified variable data, and storing, by the processing device, the variable data campaign model in the computer readable storage medium. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A method of semantically classifying variable data campaign information comprising:
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loading, by a processing device, a variable data campaign from a computer readable memory operably connected to the processing device; extracting, by the processing device, variable data from the campaign, wherein the variable data comprises variable data fields and any related values and attributes; semantically classifying, by the processing device, the variable data according to at least one classification technique such that each identified variable data field is mapped to at least one semantic element; generating, by the processing device, a variable data campaign model based upon the identified variable data and the mapped semantic elements; and storing, by the processing device, the variable data campaign model in the computer readable medium. - View Dependent Claims (18, 19, 20)
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Specification