Method and system for probabilistically quantifying and visualizing relevance between two or more citationally or contextually related data objects
US7716226B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 27, 2005 |
| Grant date | May 11, 2010 |
| Priority date | — |
| Expiry date | Jul 2, 2026 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/937
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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 bei…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.