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.
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.
Abstract: A computer-implemented method of semantically linking, by a computing device, a citing document to a cited document in a corpus of documents includes locating at least one citation present in the citing document, determining a reason-for-citing for at least one citation, and determining a cited-text-area present in the cited document, wherein the cited-text-area corresponds with the reason-for-citing. The method further includes populating a citation entry of a citation-pairing metadata file with a citing-document identifier, a reason-for-citing identifier, a cited-document identifier, and a cited-text-area identifier. The citation-pairing metadata file includes a plurality of citation entries and is stored separately from the citing document and the cited document.
Type:
Grant
Filed:
August 26, 2010
Date of Patent:
March 12, 2013
Assignee:
LexisNexis, a division of Reed Elsevier Inc.
Inventors:
Paul Zhang, Harry Silver, Timothy L. Humphrey
Abstract: The present invention is related to patent-related tools, and methodologies involving those tools, for assisting in all stages of research and development (R&D) projects. The IPAM server may be used in conjunction with the tools and methodologies to aid in R&D projects. These tools or methods include, but are not limited to, a topographic map, a top company table, a top inventor table, a inventors by company table, a features grouping, a technology classification, a Standard Industrial Codes (SIC) classification, a patent citation tree, a patent count/year, an application count/year, a nested patent citation tree, a product/patent/revenue table, a patent/months to issue chart, and a document/annotation chart.
Type:
Grant
Filed:
August 31, 2006
Date of Patent:
June 21, 2011
Assignee:
Rose Blush Software LLC
Inventors:
Paul Germeraad, Luke Hohmann, Irviing S. Rappaport, Kevin G. Rivette
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.
Abstract: Systems, methods and computer program products facilitate user compliance with laws that pertain to a regulated activity in each of a plurality of legal jurisdictions. A user selects, via a user interface in communication with a data processing system, a component that relates to an aspect of the regulated activity. A user also selects, via a user interface in communication with the data processing system, first and second legal jurisdictions from the plurality of legal jurisdictions. In response to the user selections, elements of the selected component that are unique and common to the first and second legal jurisdictions are displayed. Each displayed element is a legal requirement associated with the regulated activity as defined by laws of a respective legal jurisdiction.