Or Cohen

Title: Or Cohen: Innovator in Entity Extraction Technologies

Introduction

Or Cohen is a notable inventor based in Kfar Monash, Israel. He has made significant contributions to the field of data management and security through his innovative patent. His work focuses on enhancing the efficiency of entity extraction operations, which are crucial for managing large amounts of data.

Latest Patents

Or Cohen holds a patent titled "Entity extraction rules harvesting and performance." This patent enhances Security Information and Event Management tools, log management tools, log analysis tools, and other event data management tools. The enhancements allow for the harvesting of entity extraction rules from queries, query results, and other examples involving the extraction of field values from extensive datasets. The technology efficiently locates IP addresses, usernames, and other field values embedded in logs or data streams, populating object properties with the extracted values. The patent also describes a database that contains rules specifying parsing mechanisms, which may include regular expressions and definitions for separation characters. Additionally, a recommender system suggests extraction rules to users based on various considerations, including frequency and machine learning classifications.

Career Highlights

Or Cohen is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work has had a significant impact on the efficiency of data extraction processes, making it easier for organizations to manage and analyze their data.

Collaborations

Or Cohen has collaborated with notable colleagues, including Moshe Israel and Yaakov Garyani. Their combined expertise has contributed to the advancement of technologies in the field of data management.

Conclusion

Or Cohen's contributions to entity extraction technologies demonstrate his commitment to innovation in data management. His patent reflects a deep understanding of the challenges faced in handling large datasets and offers practical solutions to enhance efficiency.