Patents by Inventor Sravya NARALA

Sravya NARALA 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).

  • Annotations for enterprise knowledge graphs using multiple toolkits
    Patent number: 11544323
    Abstract: Mining of a set of enterprise source documents within an enterprise intranet is performed, by a plurality of knowledge mining toolkits, to determine a plurality of entity names. A plurality of entity records are generated within a knowledge graph for mined entity names from the entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity names. Pattern recognition is applied to an active document using an enterprise named entity recognition (ENER) system to identify potential entity names within the document that match a respective one of a plurality of entity records in the knowledge graph. One or more matching entity names are annotated within the document with information from the knowledge graph for the respective ones of the plurality of entity records. The annotated information is displayed with the active document.
    Type: Grant
    Filed: July 20, 2020
    Date of Patent: January 3, 2023
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Dmitriy Meyerzon, Omar Zia Khan, Hui Li, John M. Winn, John Guiver, Ivan Korostelev, Matteo Venanzi, Alexander Armin Spengler, Pavel Myshkov, Elena Pochernina, Martin Kukla, Yordan Kirilov Zaykov, Junyi Chai, Noura Farra, Sravya Narala
  • ANNOTATIONS FOR ENTERPRISE KNOWLEDGE GRAPHS USING MULTIPLE TOOLKITS
    Publication number: 20220019622
    Abstract: Mining of a set of enterprise source documents within an enterprise intranet is performed, by a plurality of knowledge mining toolkits, to determine a plurality of entity names. A plurality of entity records are generated within a knowledge graph for mined entity names from the entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity names. Pattern recognition is applied to an active document using an enterprise named entity recognition (ENER) system to identify potential entity names within the document that match a respective one of a plurality of entity records in the knowledge graph. One or more matching entity names are annotated within the document with information from the knowledge graph for the respective ones of the plurality of entity records. The annotated information is displayed with the active document.
    Type: Application
    Filed: July 20, 2020
    Publication date: January 20, 2022
    Inventors: Dmitriy MEYERZON, Omar Zia KHAN, Hui LI, John M. WINN, John GUIVER, Ivan KOROSTELEV, Matteo VENANZI, Alexander Armin SPENGLER, Pavel MYSHKOV, Elena POCHERNINA, Martin KUKLA, Yordan Kirilov ZAYKOV, Junyi CHAI, Noura FARRA, Sravya NARALA