Zurich, Switzerland

Margherita Musumeci

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Margherita Musumeci. Retrieved from https://idiyas.com/inventor/margherita-musumeci

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Margherita Musumeci: Inventor of an LLM-Based Synthetic Metadata Generator.

Introduction

Margherita Musumeci is an inventor based in Zurich, Switzerland. Her work includes a patent for generating synthetic tabular metadata with large language models.

Latest Patents

Musumeci is associated with 1 patent: “Synthetic Tabular Metadata Generator Using Large Language Models.” The invention describes a computer-generated prompt that guides a large language model to infer a hybrid table schema, including natural-language descriptions of a data table. The approach uses static or dynamically selected examples from predefined tables. Static examples are intended to improve task accuracy, while dynamically selected semantically similar examples are intended to improve semantic accuracy. Indexing semantic vector encodings of existing and new tables can accelerate the selection of dynamic examples.

Career Highlights

Musumeci is associated with Oracle International Corporation. Her patented work applies large language models and semantic indexing to the generation of tabular metadata.

Collaborations

Her named coworkers include Clemence Lanfranchi and Marcel Gwerder.

Conclusion

Margherita Musumeci’s patent presents an approach to improving the accuracy and efficiency of synthetic tabular metadata generation with large language models.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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