Guangzhou, China

Wei You

This inventor holds 1 USPTO granted patent. Top assignee: Alibaba Group Holding Limited. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wei You. Retrieved from https://idiyas.com/inventor/wei-you-ciq2i084

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Wei You: Innovator in Knowledge Graph Construction

Introduction: Wei You is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of knowledge graph construction. His innovative approach focuses on enhancing the accuracy and efficiency of data representation in knowledge graphs.

Latest Patents: Wei You holds a patent for a "Knowledge graph construction method and device." This invention provides a systematic method for constructing knowledge graphs by obtaining structured data, performing entity alignment processing, and ensuring the correctness of data within the graph. The method includes measuring similarities between entities based on various criteria, such as character similarity and attribute similarity.

Career Highlights: Wei You is currently associated with Alibaba Group Holding Limited, where he applies his expertise in data management and knowledge representation. His work has been instrumental in advancing the capabilities of knowledge graphs, which are essential for various applications in artificial intelligence and data analytics.

Collaborations: Wei You collaborates with notable colleagues, including Nengwei Hua and Weixing Zhang. Their combined efforts contribute to the innovative projects at Alibaba Group, enhancing the company's technological advancements.

Conclusion: Wei You's contributions to knowledge graph construction exemplify the importance of innovation in data management. His work not only improves the accuracy of knowledge representation but also paves the way for future advancements in the 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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