Shelomi, Israel

Anat Segal


Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2009-2011

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2 patents (USPTO):Explore Patents

Title: Anat Segal: Innovator in Database Schema and Data Matching Technologies

Introduction

Anat Segal is a prominent inventor based in Shelomi, Israel. She has made significant contributions to the fields of database schema generation and data matching technologies. With a total of 2 patents, her work has been instrumental in enhancing data integrity and efficiency in database management.

Latest Patents

Anat's latest patents include a "Schema modeler for generating an efficient database schema" and a "System and method for performing configurable matching of similar data in a data repository." The schema modeler provides intelligent choices for schema structure, generating efficient schemas while minimizing the experience required by a database designer. It proposes architectural elements based on field inputs and ensures structural and semantic compatibility for data integrity.

The second patent focuses on adaptive matching of similar data in a repository, allowing for the determination of relationships between data items based on configurable criteria. This system learns from user interactions to present appropriate match criteria, optimizing data integrity across enterprises.

Career Highlights

Anat Segal is currently employed at SAP AG, where she continues to innovate and develop solutions that address complex data management challenges. Her expertise in database technologies has positioned her as a key player in her field.

Collaborations

Anat has collaborated with notable colleagues, including Ronen Cohen and Eyal Mush, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Anat Segal's contributions to database schema generation and data matching technologies highlight her role as a leading inventor in her field. Her patents reflect a commitment to improving data management practices, ensuring efficiency and integrity in the digital landscape.

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