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For the Inventor, By the Inventor

Redmond, WA, United States of America

Sonja Sabina Knoll

This inventor holds 11 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Microsoft Technology Licensing, LLC, Pinterest, Inc.. Active years: 2006-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sonja Sabina Knoll. Retrieved from https://idiyas.com/inventor/sonja-sabina-knoll

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

USPTO Granted Patents = 11 

% Patents Active = 45.5


Average Co-Inventor Count = 5.2

ph-index = 6

Forward Citations = 128(Granted Patents)


Company Filing History:

goldMedal9 out of 56,259 
 
Microsoft Technology Licensing, LLC
 patents
silverMedal2 out of 147 
 
Pinterest, Inc.
 patents

Years Active: 2006-2024

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11 patents (USPTO):Explore Patents
1. 12130849 - Providing responses to queries of transcripts using multiple indexes (2024-10-29),
2. 12056134 - Object identification based on long-term user behavior and short-term interest (2024-08-06),
3. 11640418 - Providing responses to queries of transcripts using multiple indexes (2023-05-02),
4. 11232109 - Object identification based on long-term user behavior and short-term interest (2022-01-25),
5. 7634398 - Method and apparatus for reattaching nodes in a parse structure (2009-12-15),
6. 7480667 - System and method for using anchor text as training data for classifier-based search systems (2009-01-20),
7. 7464026 - Semantic analysis system for interpreting linguistic structures output by a natural language linguistic analysis system (2008-12-09),
8. 7315810 - Named entity (NE) interface for multiple client application programs (2008-01-01),
9. 7269547 - Tokenizer for a natural language processing system (2007-09-11),
10. 7177799 - Semantic analysis system for interpreting linguistic structures output by a natural language linguistic analysis system (2007-02-13),
11. 7092871 - Tokenizer for a natural language processing system (2006-08-15),

Title: The Innovative Contributions of Sonja Sabina Knoll

Introduction

Sonja Sabina Knoll is a prominent inventor based in Redmond, WA (US). She has made significant contributions to the field of technology, holding a total of 11 patents. Her work primarily focuses on enhancing user interaction with technology through innovative solutions.

Latest Patents

Among her latest patents is a method for providing responses to queries of transcripts using multiple indexes. This invention describes a process for responding to natural language queries associated with transcripts by searching multiple indexes. The method involves obtaining a transcript from communications among various speakers, identifying artifact sections, and generating section indexes based on artifact type definitions. Additionally, her patent on object identification based on long-term user behavior and short-term interest showcases her ability to blend user data to determine potential objects of interest. This innovative approach allows for a more personalized user experience.

Career Highlights

Sonja has worked with notable companies such as Microsoft Technology Licensing, LLC and Pinterest, Inc. Her experience in these organizations has allowed her to develop and refine her innovative ideas, contributing to advancements in technology.

Collaborations

Throughout her career, Sonja has collaborated with talented individuals, including Michael V Calcagno and Saliha Azzam. These partnerships have fostered a creative environment that has led to the development of her impactful inventions.

Conclusion

Sonja Sabina Knoll's contributions to technology through her patents and collaborations highlight her role as an influential inventor. Her innovative solutions continue to shape the way users interact with technology, making her a significant figure in her field.

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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