Method and system for probabilistically quantifying and visualizing relevance between two or more citationally or contextually related data objects
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United States of America Patent
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Aug 6, 2013
Grant Date -
Aug 30, 2012
app pub date -
Mar 2, 2012
filing date -
Sep 27, 2005
priority date (Note) -
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Abstract
In one embodiment a 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 to behavior, technical or scientific information, address information, and the like is provided. In another embodiment a method for visualizing and displaying relevance between two or more citationally or contextually related data objects is provided. In another embodiment a search input/output interface that utilizes an iterative self-organizing mapping technique to automatically generate a visual map of relevant patents and/or other related documents desired to be explored, searched or analyzed is provided. In another embodiment, a 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 is provided.
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