Seattle, WA, United States of America

Jeremy Douglas Fehr

This inventor holds 2 USPTO granted patents. Top assignee: Amazon Technologies, Inc.. Active years: 2023-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeremy Douglas Fehr. Retrieved from https://idiyas.com/inventor/jeremy-douglas-fehr

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Jeremy Douglas Fehr: Inventor in Seattle

Introduction

Jeremy Douglas Fehr is an inventor based in Seattle, Washington. His patent work includes a service architecture for linking unstructured text to standardized ontologies, a process that can help organize and interpret information.

Latest Patents

Fehr’s listed patent, “Service Architecture for Ontology Linking of Unstructured Text,” describes a service that processes a request to connect unstructured text with a standardized ontology. The system segments and tokenizes the text, then sends it to multiple services that use deep machine-learning models to identify entities and relationships between them.

The service searches the ontology for similar candidates and ranks them according to their similarity to the detected entities. Its output can identify the highest-ranked candidate for the entities found in the text. The supplied information lists 2 patents for Fehr.

Career Highlights

Fehr is associated with Amazon Technologies, Inc. His patent work reflects an application of machine learning and ontology-based methods to the challenge of making unstructured text more searchable and interpretable.

Collaborations

Fehr’s listed coworkers include Parminder Bhatia and Thiruvarul Selvan Senthivel. The patent description presents a service architecture involving multiple model-based services, though the supplied information does not specify individual contributions.

Conclusion

Jeremy Douglas Fehr’s patent work focuses on combining machine-learning models with ontology search and ranking to link unstructured text to standardized concepts.

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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