Programmatically deriving street geometry from address data
AssigneeInternational Business Machines Corporation
InventorsFeng-Wei Chen, Robert R. Cutlip
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AssigneeInternational Business Machines Corporation
InventorsFeng-Wei Chen, Robert R. Cutlip
Estimating the term…
Techniques are disclosed for programmatically deriving street geometry data from address data which is presented in textual format. A collection of address information is used as input, and is processed in a novel manner to populate tables of a spatially-enabled database. Preferred embodiments use a data mart schema which is disclosed, and leverage built-in functions of a spatially-enabled object relational database system. In contrast to prior art techniques, the present invention does not require input data to be encoded in a “well-known” format (i.e. a format that adheres to particular predefined syntax conventions known as “WKT” or “WKB”); rather, textual information of the type which is readily available from government and/or commercial sources may be used as input. The derived street geometry supports retrievals which do not rely on proprietary file formats or binary files, thereby enabling faster retrievals and reduced resource consumption requirements
A method of programmatically deriving street geometry from address data, comprising steps of:
A method of programmatically deriving street geometry from address data, comprising steps of:
A system for programmatically deriving street geometry from address data, comprising:
A computer program product for programmatically deriving street geometry from address data, the computer program product embodied on one or more computer-readable media and comprising:
Dependencies are inferred from the claim text.