Patents by Inventor Mitesh H. Vasa

Mitesh H. Vasa has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11630869
    Abstract: One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a revision different than another of the at least two documents; identifying, within each of the at least two documents, portions corresponding to groups of text containing a conceptual unit; assigning at least a subset of the identified portions to a category type corresponding to a topic of a given portion, wherein the assigning comprises (i) generating a semantic tag for the identified portions in the subset and (ii) tagging the identified portions in the subset with the semantic tag; and determining changes between the at least two documents, wherein the determining comprises (iii) aligning given portions across the at least two documents based upon a relationship between the given portions across the at least two documents, (iv) identifying semantic differences between the aligned portions, and (v) identifying any remaining unaligned portions.
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: April 18, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Arvind Agarwal, Vitobha Munigala, Mitesh H. Vasa, Shanmukha Guttula, Ankush Gupta, Nicholas Gomez Phan
  • Patent number: 11500840
    Abstract: Methods, systems, and computer program products for contrasting document-embedded structured data and generating summaries thereof are provided herein. A computer-implemented method includes extracting two or more tables from two or more input documents, wherein each of the two or more input documents comprises structured data and unstructured data; normalizing the two or more extracted tables using one or more alignment techniques; determining at least one of (i) one or more differences and (ii) one or more similarities across the two or more extracted tables by performing a comparison of the two or more normalized tables; deriving one or more insights from the comparison by applying at least one analytical model to the at least one of the one or more determined differences and one or more determined similarities; and outputting at least a portion of the one or more insights to at least one user.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: November 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Ankush Gupta, Vitobha Munigala, Arvind Agarwal, Shanmukha Chaitany Guttula, Mitesh H. Vasa
  • Publication number: 20210271718
    Abstract: One embodiment provides a method, including: obtaining at least two documents, wherein one of the at least two documents comprises a revision different than another of the at least two documents; identifying, within each of the at least two documents, portions corresponding to groups of text containing a conceptual unit; assigning at least a subset of the identified portions to a category type corresponding to a topic of a given portion, wherein the assigning comprises (i) generating a semantic tag for the identified portions in the subset and (ii) tagging the identified portions in the subset with the semantic tag; and determining changes between the at least two documents, wherein the determining comprises (iii) aligning given portions across the at least two documents based upon a relationship between the given portions across the at least two documents, (iv) identifying semantic differences between the aligned portions, and (v) identifying any remaining unaligned portions.
    Type: Application
    Filed: March 2, 2020
    Publication date: September 2, 2021
    Inventors: Arvind Agarwal, Vitobha Munigala, Mitesh H. Vasa, Shanmukha Guttula, Ankush Gupta, Nicholas Gomez Phan
  • Publication number: 20210271654
    Abstract: Methods, systems, and computer program products for contrasting document-embedded structured data and generating summaries thereof are provided herein. A computer-implemented method includes extracting two or more tables from two or more input documents, wherein each of the two or more input documents comprises structured data and unstructured data; normalizing the two or more extracted tables using one or more alignment techniques; determining at least one of (i) one or more differences and (ii) one or more similarities across the two or more extracted tables by performing a comparison of the two or more normalized tables; deriving one or more insights from the comparison by applying at least one analytical model to the at least one of the one or more determined differences and one or more determined similarities; and outputting at least a portion of the one or more insights to at least one user.
    Type: Application
    Filed: February 28, 2020
    Publication date: September 2, 2021
    Inventors: Ankush Gupta, Vitobha Munigala, Arvind Agarwal, Shanmukha Chaitany Guttula, Mitesh H. Vasa
  • Patent number: 10708120
    Abstract: One or more embodiments identify server management actions for resolving problems associated with one or more nodes in information technology infrastructure. In one embodiment, a node-ticket record for an information processing node associated with at least one problem ticket is generated. A set of node-ticket clusters is queried based on the node-ticket record. Each of the set of node-ticket clusters maps a set of server management actions to set of historical node-ticket records associated with the node-ticket cluster. The set of server management actions was previously performed to resolve at least one operational problem associated with at least one information processing node. At least one set of server management actions associated with at least one of the set of node-ticket clusters corresponding to the node-ticket record within a given threshold is identified based on the querying.
    Type: Grant
    Filed: March 13, 2017
    Date of Patent: July 7, 2020
    Assignee: International Business Machines Corporation
    Inventors: Nikolaos Anerousis, Anuradha Bhamidipaty, Shang Q. Guo, Suman K. Pathapati, Daniela Rosu, Mitesh H. Vasa, Anubha Verma, Frederick Wu, Sai Zeng
  • Publication number: 20180062912
    Abstract: One or more embodiments identify server management actions for resolving problems associated with one or more nodes in information technology infrastructure. In one embodiment, a node-ticket record for an information processing node associated with at least one problem ticket is generated. A set of node-ticket clusters is queried based on the node-ticket record. Each of the set of node-ticket clusters maps a set of server management actions to set of historical node-ticket records associated with the node-ticket cluster. The set of server management actions was previously performed to resolve at least one operational problem associated with at least one information processing node. At least one set of server management actions associated with at least one of the set of node-ticket clusters corresponding to the node-ticket record within a given threshold is identified based on the querying.
    Type: Application
    Filed: March 13, 2017
    Publication date: March 1, 2018
    Applicant: International Business Machines Corporation
    Inventors: Nikolaos ANEROUSIS, Anuradha BHAMIDIPATY, Shang Q. GUO, Suman K. PATHAPATI, Daniela ROSU, Mitesh H. VASA, Anubha VERMA, Frederick WU, Sai ZENG
  • Patent number: 9667473
    Abstract: One or more embodiments identify server management actions for resolving problems associated with one or more nodes in information technology infrastructure. In one embodiment, a node-ticket record for an information processing node associated with at least one problem ticket is generated. A set of node-ticket clusters is queried based on the node-ticket record. Each of the set of node-ticket clusters maps a set of server management actions to set of historical node-ticket records associated with the node-ticket cluster. The set of server management actions was previously performed to resolve at least one operational problem associated with at least one information processing node. At least one set of server management actions associated with at least one of the set of node-ticket clusters corresponding to the node-ticket record within a given threshold is identified based on the querying.
    Type: Grant
    Filed: February 28, 2013
    Date of Patent: May 30, 2017
    Assignee: International Business Machines Corporation
    Inventors: Nikolaos Anerousis, Anuradha Bhamidipaty, Shang Q. Guo, Suman K. Pathapati, Daniela Rosu, Mitesh H. Vasa, Anubha Verma, Frederick Wu, Sai Zeng
  • Publication number: 20170140277
    Abstract: A cognitive system that automatically assesses subjective answers may be provided. A cognitive engine executing on one or more processors may determine whether a statement parsed from a subjective answer by natural language processing technique is accurate or inaccurate, for each of the plurality of statements based on matching the statement with information associated with a domain of a question from a plurality of data sources, according to an accuracy threshold. An overall assessment of the answer may be automatically determined based on a number of statements determined to be accurate, a number of statements determined to be inaccurate, a number of duplicate statements in the answer relative to a total number of statements in the answer. A visual graphics representing accurate and inaccurate statements may be presented or displayed, allowing a user to interact with the visual graphics to modify the assessment.
    Type: Application
    Filed: November 17, 2015
    Publication date: May 18, 2017
    Inventors: Sathish R. Indurthi, Mitesh M. Khapra, Yedendra B. Shrinivasan, Mitesh H. Vasa
  • Patent number: 9646250
    Abstract: A cognitive system that automatically assesses subjective answers may be provided. A cognitive engine executing on one or more processors may determine whether a statement parsed from a subjective answer by natural language processing technique is accurate or inaccurate, for each of the plurality of statements based on matching the statement with information associated with a domain of a question from a plurality of data sources, according to an accuracy threshold. An overall assessment of the answer may be automatically determined based on a number of statements determined to be accurate, a number of statements determined to be inaccurate, a number of duplicate statements in the answer relative to a total number of statements in the answer. A visual graphics representing accurate and inaccurate statements may be presented or displayed, allowing a user to interact with the visual graphics to modify the assessment.
    Type: Grant
    Filed: November 17, 2015
    Date of Patent: May 9, 2017
    Assignee: International Business Machines Corporation
    Inventors: Sathish R. Indurthi, Mitesh M. Khapra, Yedendra B. Shrinivasan, Mitesh H. Vasa
  • Publication number: 20140244816
    Abstract: One or more embodiments identify server management actions for resolving problems associated with one or more nodes in information technology infrastructure. In one embodiment, a node-ticket record for an information processing node associated with at least one problem ticket is generated. A set of node-ticket clusters is queried based on the node-ticket record. Each of the set of node-ticket clusters maps a set of server management actions to set of historical node-ticket records associated with the node-ticket cluster. The set of server management actions was previously performed to resolve at least one operational problem associated with at least one information processing node. At least one set of server management actions associated with at least one of the set of node-ticket clusters corresponding to the node-ticket record within a given threshold is identified based on the querying.
    Type: Application
    Filed: February 28, 2013
    Publication date: August 28, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Nikolaos ANEROUSIS, Anuradha BHAMIDIPATY, Shang Q. GUO, Suman K. PATHAPATI, Daniela ROSU, Mitesh H. VASA, Anubha VERMA, Frederick WU, Sai ZENG
  • Publication number: 20140067360
    Abstract: Systems and methods for on-demand simulation based learning for an automation framework. According to one embodiment, the system or method comprises an automated process in a real computing environment that encounters a novel, divergent, or defined state that the automation cannot handle. The state is replicated in a simulated computing environment which a user interacts with to resolve the simulated issue. The user's actions are captured and replicated in the real computing environment in order to resolve the issue. Optionally, the user's actions are analyzed and added to the automation database or rules.
    Type: Application
    Filed: September 6, 2012
    Publication date: March 6, 2014
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Anuradha Bhamidipaty, Suman K. Pathapati, Mitesh H. Vasa, Anubha Verma
  • Publication number: 20120084435
    Abstract: A method, a computer program product, and a system is provided to monitor several continuously transmitted content channels, each providing video information and audio information, or a combination thereof with text information; simultaneously convert the monitored content from each channel to provide data stream feeds for each of these channels; simultaneously analyze each channel feed to determine if a user provided topic is included in any of these feeds; and send an alert to the user when a channel feed includes a user provided topic. In a further embodiment, the method includes delivery of content from the channel feed to a user device, upon request, in a user designated transmission format (such as video, audio or text).
    Type: Application
    Filed: October 4, 2010
    Publication date: April 5, 2012
    Applicant: International Business Machines Corporation
    Inventors: Mitesh H. Vasa, Vinod V. Mankar, Bhuvan Sharma