This inventor holds 1 USPTO granted patent. Top assignee: Yahoo! Inc.. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: Innovations of Ning Song in Screen Scraping Technology
Introduction
Ning Song is an accomplished inventor based in Sunnyvale, California. He has made significant contributions to the field of computer science, particularly in the area of automated screen scraping. His innovative approach utilizes grammar induction to enhance the efficiency of data extraction from display information.
Latest Patents
Ning Song holds a patent for a method titled "Automated screen scraping via grammar induction." This patent describes a computer-readable medium that stores instructions for a method that intercepts display information transmitted to a computer-implemented display device. The method involves inducing a grammar through statistical analysis of the intercepted display information, which is then used to generate a parser for effective screen scraping.
Career Highlights
Ning Song is currently employed at Yahoo! Inc., where he continues to develop and refine his innovative ideas. His work has positioned him as a notable figure in the tech industry, particularly in the realm of data processing and extraction technologies.
Collaborations
Ning has collaborated with talented individuals such as Zhichen Xu and Yun Fu, who contribute to the dynamic environment at Yahoo! Inc. Their collective expertise fosters innovation and drives advancements in technology.
Conclusion
Ning Song's contributions to automated screen scraping through grammar induction exemplify the impact of innovative thinking in technology. His work not only enhances data extraction processes but also showcases the importance of collaboration in driving technological advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
