This inventor holds 2 USPTO granted patents and 11 published patent applications, plus 2 CIPO patents. Top assignee: 42 Maru Inc.. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Title: The Innovations of Han Soo Kim
Introduction
Han Soo Kim is a notable inventor based in Bucheon-si, South Korea. He has made significant contributions to the field of database technology through his innovative patent. His work focuses on enhancing the way natural language queries are processed and converted into structured query language (SQL) queries.
Latest Patents
Han Soo Kim holds a patent for a "Device and method for converting natural language query into SQL query." This invention provides a comprehensive method for transforming natural language queries into SQL queries for efficient database searches. The process includes several operations: labeling natural language queries in training data, converting these queries into SQL queries using an SQL conversion model, verifying the accuracy of the generated SQL queries, and training the conversion model by comparing the generated queries with the original queries from the training data. This innovative approach streamlines the interaction between users and databases, making data retrieval more intuitive.
Career Highlights
Currently, Han Soo Kim is employed at 42 Maru Inc., where he continues to develop and refine his innovative ideas. His work at the company emphasizes the importance of user-friendly database interactions and the potential for natural language processing in technology.
Collaborations
Some of his notable coworkers include Dong Hwan Kim and Ah Rim Sohn, who contribute to the collaborative environment at 42 Maru Inc. Their combined expertise fosters innovation and drives the development of cutting-edge technologies.
Conclusion
Han Soo Kim's contributions to the field of database technology through his patent demonstrate his commitment to innovation. His work not only enhances the efficiency of database searches but also paves the way for future advancements in natural language processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile