Importance

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Abstract

A system having a processor is programmed to realize practical quantitative assessment of similarity of categorized data. The category data may be stored in a memory as a category graph comprising a graphical data structure having plural parent and child category nodes connected by directed edges, such that sequences of connected category nodes represent hierarchical relations between categories of objects. A similarity metric of a selected pair of categories may be derived, in one embodiment, by analysis of ancestors of the selected pair of categories, including consideration of closest common ancestors in the category graph. Efficiency improvements may include transforming a directed cyclic graph to a directed acyclic graph, and optionally deriving a subgraph to reduce the number of categories under consideration. The software methods may further comprise computing a similarity metric for a pair of objects based on the similarity score for the corresponding pair of categories.

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First Claim