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For the Inventor, By the Inventor

San Jose, CA, United States of America

Fatma Ozcan

USPTO Granted Patents = 28 

Average Co-Inventor Count = 4.1

ph-index = 6

Forward Citations = 170(Granted Patents)


Company Filing History:

goldMedal28 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2007-2025

where 'Filed Patents' based on already Granted Patents

28 patents (USPTO):
1. 12488012 - Query relaxation using external domain knowledge for query answering (2025-12-02),
2. 12393615 - Guided exploration for conversational business intelligence (2025-08-19),
3. 12387112 - Ontology-based data storage for distributed knowledge bases (2025-08-12),
4. 12333425 - Hybrid graph neural network (2025-06-17),
5. 12159224 - Entity disambiguation using graph neural networks (2024-12-03),
6. 12153631 - Conversation based data analysis recommendations (2024-11-26),
7. 12019995 - Ontology-driven conversational interface for data analysis (2024-06-25),
8. 11841867 - Query relaxation using external domain knowledge for query answering (2023-12-12),
9. 11321534 - Conversation space artifact generation using natural language processing, machine learning, and ontology-based techniques (2022-05-03),
10. 11170306 - Rich entities for knowledge bases (2021-11-09),
11. 11157467 - Reducing response time for queries directed to domain-specific knowledge graph using property graph schema optimization (2021-10-26),
12. 11144500 - Assignment of data within file systems (2021-10-12),
13. 11093541 - Transforming an ontology query to an SQL query (2021-08-17),
14. 10691646 - Split elimination in mapreduce systems (2020-06-23),
15. 10642741 - Accessing tables with heterogeneous partitions (2020-05-05),

Title: **Fatma Ozcan: A Trailblazer in Entity Disambiguation and Natural Language Processing**

Introduction

Fatma Ozcan, based in San Jose, CA, has made significant contributions to the field of computer science, notably in the domains of entity disambiguation and natural language analysis. With an impressive portfolio of 24 patents, her work continues to influence technologies used across various industries.

Latest Patents

Among her recent innovations, Fatma's patents include:

1. **Entity Disambiguation Using Graph Neural Networks** – This patent describes computer-implemented techniques that employ heterogeneous graph neural networks (GNNs) to identify similar terms associated with unstructured text snippets. The method enhances the ability to process unknown terms by leveraging knowledge graphs in a specific domain.

2. **Conversation Based Data Analysis Recommendations** – In this patent, an insight about a dataset is detected, and a context is established through natural language input analysis. The method computes a relevance score for insights based on their similarity to the context and presents a selected insight based on this relevance, contributing to more efficient data analysis in conversational formats.

Career Highlights

Fatma currently works at International Business Machines Corporation (IBM), one of the world's leading technology companies. Her role focuses on advancing artificial intelligence solutions that enhance data understanding and processing capabilities.

Collaborations

During her career, Fatma has collaborated with notable figures in the field including Mir Hamid Pirahesh and Nimrod Megiddo. Their combined expertise has fostered innovative developments in machine learning and natural language processing.

Conclusion

Fatma Ozcan stands out as a dynamic inventor in the tech industry, with her forward-thinking patents paving the way for advancements in AI and data processing. Her contributions continue to shape the way organizations interpret and analyze data, marking her as a key figure to watch in the realm of innovations.

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