Guduvancheri, India

Bharath Sivakumar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Zoho Corporation Private Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bharath Sivakumar. Retrieved from https://idiyas.com/inventor/bharath-sivakumar

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Bharath Sivakumar - Innovator in Data Extraction Technologies

Introduction

Bharath Sivakumar is an inventor based in Guduvanchery, India. He is known for his innovative approach to data extraction from unstructured or semi-structured text. His work focuses on developing methods and systems that enhance the parsing of text to extract named entities and data types.

Latest Patent Applications

Bharath Sivakumar has filed a patent application titled "Value-Directed Parsing for Data Extraction." This application describes methods and systems for parsing unstructured or semi-structured text to extract named entities. The defined data types include semantic fields, which are constrained to sets of potential field values. These sets can overlap, leading to ambiguous parses. For instance, the text string '3-4-2023' parsed as a date can yield either Mar. 4, 2023, or Apr. 3, 2023. The potential field values in alternative parses are scored, and these scores are used to select and disambiguate the resultant value parses.

Conclusion

Bharath Sivakumar is making significant contributions to the field of data extraction technologies through his innovative patent application. His work aims to improve the accuracy and efficiency of parsing unstructured text, which is crucial in today's data-driven world.

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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