Jonathan James Hilgart

Title: Jonathan James Hilgart: Inventor in Natural-Language Data Querying

Introduction

Jonathan James Hilgart is an inventor based in Alameda, California, and works at Snowflake Inc. His patent work addresses how natural-language questions can be translated into structured queries for data stores.

Latest Patents

Hilgart is associated with 1 patent: “Query Generation Based on Natural Language Question and Semantic Data.” The invention describes systems and methods that use semantic information about a data-store schema, together with a natural-language question, to generate a structured query. It also describes checking whether the query is valid, executing valid queries against the data store, and returning a response containing the query result.

Career Highlights

Hilgart’s patent reflects work at the intersection of natural-language processing, large language models, and database querying. The described approach aims to help users retrieve information from data stores by asking questions in ordinary language.

Collaborations

The provided information identifies Mengyu Huang and Nicole Limtiaco as Hilgart’s coworkers. Their names are associated with his professional context, though specific roles in the patent are not provided.

Conclusion

Jonathan James Hilgart’s patent focuses on using semantic data and large language models to turn natural-language questions into validated database queries and useful results.