Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2005-12-27
2009-12-01
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C709S203000, C715S230000
Reexamination Certificate
active
07627545
ABSTRACT:
A process for evaluating and geocoding of GIS data elements utilizes a plurality of “locate” tests and a weighting scheme to express the match results as a multidimensional vector. Multiple inputs and data sources, as well as ambiguous and partial input data, are used to generate an output with improved precision by applying a weighting function to each input element and generating a set of test vectors (i.e., the input data element weighted by the known accuracy of the element/source). A sum of a plurality of tests is then generated as the “characteristic vector” of the test set. By using two (or more) different sets of test, two (or more) characteristic vectors are formed. Various well-known algebraic techniques can then be used to evaluate the results of each set of tests and select the “best match” result.
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Asher Michael
Eslambolchi Hossein
Giddens Charles
Stewart Harold J.
AT&T Intellectual Property II, LP.
Bharadwaj Kalpana
Vincent David R
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