Company Filing History:
Years Active: 2020-2021
Title: Sharmishtha Prakash Kulkarni: Innovator in Entity Relationship Modeling
Introduction
Sharmishtha Prakash Kulkarni is a notable inventor based in Pune, India. She has made significant contributions to the field of information extraction and modeling, particularly in the context of entity relationship models. With a total of 2 patents to her name, her work is paving the way for advancements in automated knowledge acquisition.
Latest Patents
Kulkarni's latest patents include a method and system for entity relationship model generation. This innovative system automates the process of generating entity relationship (ER) models for services as software. It incorporates automated knowledge acquisition and multilevel validation of the information extraction process. The system features a training module to train the information extraction model and a knowledge generation module for populating the ER model. Additionally, it implements context-aware entity extraction, making the system self-learning and intelligent.
Another significant patent is a system and method for creating an instance model. This framework allows for information extraction and modeling from various document types, including PDF, Text, HTML, LOG, CSV, images, audio/video files, and DOCX. The system creates a template model using the existing ER model and a plurality of data sources, facilitating the generation of the instance model. This method is versatile and can handle unstructured data sources effectively.
Career Highlights
Sharmishtha Prakash Kulkarni is currently employed at Tata Consultancy Services Limited, where she continues to innovate and contribute to her field. Her work is instrumental in enhancing the capabilities of information extraction systems.
Collaborations
Kulkarni collaborates with talented individuals such as Sandeep Chougule and Harrick Mayank Vin, further enriching her work environment and fostering innovation.
Conclusion
Sharmishtha Prakash Kulkarni is a pioneering inventor whose contributions to entity relationship modeling and information extraction are noteworthy. Her patents reflect her commitment to advancing technology and improving automated processes.