Correlating categories using taxonomy distance and term...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C706S014000, C706S045000, C707S793000

Reexamination Certificate

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07546278

ABSTRACT:
A method and system for determining similarity or correlation between categories of a hierarchical taxonomy for documents by combining heterogeneous similarity metrics is provided. A correlation system uses both a taxonomy distance metric and a term space distance metric to represent the similarity between categories. The correlation system finds a new distance metric for categories that factors in both the taxonomy distance metric and the term space distance metric. The new distance metric can then be used by classifiers to more accurately represent the correlation between categories.

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