Abstract: A method, system, and computer program product for contextual updating of existing documents using natural language processing (NLP) are provided in the illustrative embodiments. Information is received about a subject-matter domain. A portion of the existing document is identified, where the portion corresponds to the subject-matter domain. A search query is formed based on the portion, wherein the search query returns a result set, the result set including current information corresponding to the subject-matter domain, the current information being recent as compared to an age of the portion. A natural language (NL) update content is formed by processing the current information through an NLP application. The existing document is updated using the NL update content.
Type:
Grant
Filed:
February 20, 2014
Date of Patent:
March 22, 2016
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventors:
James E. Bostick, John M. Ganci, Jr., Stephen G. Meyer, Craig M. Trim
Abstract: A method and system for utilizing metadata to search for media, such as multimedia and streaming media, includes searching for the media, receiving results, extracting metadata associated with the media, enhancing the extracted metadata, and grouping the search results in accordance with attributes of the enhanced metadata. Enhancing and grouping include adding related metadata to the database of metadata, iteratively using metadata to search for more media related data, removing duplicate URLs, collapsing URLs that are variants of each other, and masking out superfluous terms from URLs. The resultant metadata and media files are available to users and search engines.
Type:
Grant
Filed:
May 14, 2010
Date of Patent:
April 14, 2015
Assignee:
Microsoft Technology Licensing, LLC
Inventors:
Aram Christian Abajian, Robin Andrew Alexander, Scott Chao-Chueh Lee, Austin David Dahl, John Anthony Derosa, Charles A. Porter, Eric Carl Rehm, Jennifer Lynn Kolar, Srinivasan Sudanagunta
Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for providing an adaptive knowledge platform. In one or more aspects, a system can include a knowledge management component to acquire, classify and disseminate information of a dataset; a human-computer interaction component to visualize multiple perspectives of the dataset and to model user interactions with the multiple perspectives; and an adaptivity component to modify one or more of the multiple perspectives of the dataset based on a user-interaction model.
Type:
Grant
Filed:
April 28, 2009
Date of Patent:
February 3, 2015
Assignee:
Alexandria Investment Research and Technology, Inc.
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: An electronic marketplace for used digital objects is disclosed. Digital objects including e-books, audio, video, computer applications, etc., may be placed in a personalized data store upon purchase from a merchant. Placement may be manual or occur automatically. A server prompt or downloader application may be used to set preferences for manual or automatic placement. Placement may be direct or indirect. Direct placement occurs upon placement of the digital object in the personalized data store directly by the merchant. Indirect placement occurs upon transfer of the digital object to an intermediate storage location, such as the user's electronic device, then placing the digital object in the personalized data store. The user, via streaming, download, or other transfer, may then access content placed in the personalized data store.
Type:
Grant
Filed:
May 5, 2009
Date of Patent:
April 8, 2014
Assignee:
Amazon Technologies, Inc.
Inventors:
Samuel Heyworth, Erich Ringewald, Peter V. Commons
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 method of generating content defined by a file of a prescribed format. A portion of a first work of content is automatically identified responsive to a user selection thereof. The first work of content may be audio, video, and still images. A reference to the portion of the first work of content is generated responsive to the identifying. Instructions associated with the portion of the first work of content operable for use by a playback device to render the content are generated. The reference and the instructions are incorporated in a digital file of a prescribed format operable for use by the playback device during rendition of the content. The file may be stored in a memory component. The playback device is operable to use the reference to access the portion of the first work of content from a source other than the file during rendition of the file.
Abstract: A computer-enabled system, method, and medium is provided to support, e.g., analyzing intellectual property documents by assigning attributes to the documents. The present invention is suitable for use by intellectual property professionals and is flexible to support development and use of customized attribute types and attributes. Optionally, a group of intellectual property documents can be divided into projects, which can be ingested including assigning attributes. Optionally, the attributes can be used to filter information included in e.g., searches, and/or reports.
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 to 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: A computer-enabled system, method, and medium is provided to support, e.g., analyzing intellectual property documents by assigning attributes to the documents. The present invention is suitable for use by intellectual property professionals and is flexible to support development and use of customized attribute types and attributes. Optionally, a group of intellectual property documents can be divided into projects, which can be ingested including assigning attributes. Optionally, the attributes can be used to filter information included in e.g., searches, and/or reports.
Abstract: A method for analyzing predefined subject matter in a patent database being for use with a set of target patents, each target patent related to the predefined subject matter, the method comprising: creating a feature space based on frequently occurring terms found in the set of target patents; creating a partition taxonomy based on a clustered configuration of the feature space; editing the partition taxonomy using domain expertise to produce an edited partition taxonomy; creating a classification taxonomy based on structured features present in the edited partition taxonomy; creating a contingency table by comparing the edited partition taxonomy and the classification taxonomy to provide entries in the contingency table; and identifying all significant relationships in the contingency table to help determine the presence of any white space.
Type:
Grant
Filed:
February 13, 2007
Date of Patent:
November 15, 2011
Assignee:
International Business Machines Corporation
Inventors:
Ying Chen, Jeffrey Thomas Kreulen, James J. Rhodes, William Scott Spangler
Abstract: A method and system for analyzing a patent disclosure is disclosed. The method and system comprise a disclosure analysis and a separate claims analysis, such that each analysis may be performed independently. Missing and incorrect reference labels are identified within the disclosure. Antecedent basis and specification support are checked for the claim elements. Terms within the specification that do not have a reference number, but may require one, are identified, provided that they fit the profile of one of a set of particular lexical patterns.
Abstract: Method and apparatus for inserting digital tracers in data that allow particular copies of the data to be traced to particular entities. Embodiments of a tracer mechanism may programmatically insert individualized tracers into data copies provided to third parties, for example via a Web service interface. A tracer may appear as normal data to the reader, and does not interfere with the typical use of the data copy. Tracers may serve as unique identifiers for particular data copies provided to particular Web service clients, allowing instances of the data copies to be associated with particular Web service clients. Embodiments may, for example, allow an enterprise to programmatically and systematically track copies of data distributed to third parties to help insure that the terms and conditions of licensing agreements are not violated. In one embodiment, the tracer mechanism may be implemented as a Web service.
Abstract: A computer-enabled system, method, and medium is provided to support, e.g., analyzing intellectual property documents by assigning attributes to the documents. The present invention is suitable for use by intellectual property professionals and is flexible to support development and use of customized attribute types and attributes. Optionally, a group of intellectual property documents can be divided into projects, which can be ingested including assigning attributes. Optionally, the attributes can be used to filter information included in e.g., searches, and/or reports.
Abstract: A method and computer-readable medium are provided for generating usage rights for an item based upon rights to access the item. According to the method, a request is received at a document management system for an item stored in a library. In response to the request, access rights to the item for the requester are determined and usage rights are generated based upon the access rights. An encrypted file is then created that contains the item and the usage rights for the item. The location of the item in the library may also be included in the protected file. When an attempt is made to store the item back in the library, a comparison is made between the location where the item was previously retrieved from (as specified within the item) and the requested location in the library for saving the item. The item is only saved in the library if the two locations match.
Abstract: The disclosure relates to a digital asset storage, search and retrieval system. Each digital asset may comprise one or more versions and properties. The system may access stored digital assets using hierarchical classifications under a taxonomy based on the properties. The digital assets may be assigned conditions governing usage of the assets. Via relationship networks, the digital assets may “inherit” the conditions from other digital assets.
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.