METHOD AND SYSTEM FOR PROBABILISTICALLY QUANTIFYING AND VISUALIZING RELEVANCE BETWEEN TWO OR MORE CITATIONALLY OR CONTEXTUALLY RELATED DATA OBJECTS

METHOD AND SYSTEM FOR PROBABILISTICALLY QUANTIFYING AND VISUALIZING RELEVANCE BETWEEN TWO OR MORE CITATIONALLY OR CONTEXTUALLY RELATED DATA OBJECTS

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,...

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1. Verfasser: BARNEY JONATHAN A
Format: Patent
Sprache:eng
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CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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description 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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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title METHOD AND SYSTEM FOR PROBABILISTICALLY QUANTIFYING AND VISUALIZING RELEVANCE BETWEEN TWO OR MORE CITATIONALLY OR CONTEXTUALLY RELATED DATA OBJECTS
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