Location History:
- Manlius, CA (US) (2020)
- Manlius, NY (US) (2011 - 2023)
Company Filing History:
3 out of 5 
2 out of 7 
2 out of 2 Years Active: 2011-2024
Title: Wen Ruan: A Pioneer in Semantic Modeling and Problem-Solution Automation
Introduction
Wen Ruan, an innovative inventor based in Manlius, NY, has made significant contributions to the field of semantic modeling and problem-solving automation. With a portfolio of seven patents, her work focuses on effectively managing and utilizing textual information related to various entities.
Latest Patents
Wen Ruan's latest patents showcase her advanced methodologies and systems for aggregated modeling, which include:
1. **System and method for aggregated modeling, search, visualization, and summarization and applications thereof** - This invention outlines a comprehensive approach to model entities based on related textual information. It involves searching and retrieving documents related to an entity, creating first aggregated semantic models from these documents, and clustering them into groups to derive second aggregated semantic models that characterize different aspects of the entity.
2. **Automating solution prompts based upon semantic representation** - This innovative system analyzes perceived technical problems and proposed solutions. It utilizes input queries to retrieve semantically similar documents, gathers concept terms, and combines them to generate specific solution prompts tailored to the identified problems.
Career Highlights
Throughout her career, Wen has been associated with notable companies, including Ip.com I, LLC and Textwise LLC. Her contributions have led to advancements in understanding and automating the handling of complex textual data.
Collaborations
Wen Ruan has collaborated with accomplished professionals in her field, including Robert Solmer and William Yurich Fowlkes. These partnerships have enhanced her projects, allowing for a more robust exploration of semantic modeling techniques.
Conclusion
Wen Ruan’s groundbreaking work continues to influence the landscape of semantic technology and problem-solving applications. Her innovative spirits and dedicated efforts in developing complex systems exemplify her position as a leading inventor in her domain. With a focus on enhancing how information is modeled and utilized, she sets a standard for future advancements in the industry.