Method and system for probabilistically quantifying and visualizing relevance between two or more citationally or contextually related data objects
AssigneePatentRatings, LLC
InventorJonathan A. Barney
Life of this patent
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AssigneePatentRatings, LLC
InventorJonathan A. Barney
Estimating the term…
In one embodiment the present invention provides a novel method for probabilistically quantifying a degree of relevance between two or more citationally or contextually related data objects, such as patent documents, non-patent documents, web pages, personal and corporate contacts information, product information, consumer behavior, technical or scientific information, address information, and the like. In another embodiment the present invention provides a novel method for visualizing and displaying relevance between two or more citationally or contextually related data objects. In another embodiment the present invention provides a novel search input/output interface that utilizes an iterative self-organizing mapping (“SOM”) technique to automatically generate a visual map of relevant patents and/or other related documents desired to be explored, searched or analyzed. In another embodiment the present invention provides a novel search input/output interface that displays and/or communicates search input criteria and corresponding search results in a way that facilitates intuitive understanding and visualization of the logical relationships between two or more related concepts being searched.
A computer-implemented method for measuring or analyzing a degree of relevance between two or more citationally related documents, the method comprising:
A computer-readable physical storage medium that stores instructions executable by at least one processing device, comprising:
A computer programmed to measure or analyze a degree of relevance between two or more citationally related documents, the computer system comprising:
Dependencies are inferred from the claim text.