Location History:
- Baltimore, MD (US) (2006)
- Bloomfield Hills, MI (US) (2007)
Company Filing History:
Years Active: 2006-2007
Title: Jacob William Green: Innovator in Dynamic Web Crawling Technologies
Introduction
Jacob William Green is a notable inventor based in Bloomfield Hills, MI (US). He has made significant contributions to the field of web crawling technologies, holding a total of 2 patents. His work focuses on enhancing the efficiency of information retrieval from the internet.
Latest Patents
Jacob's latest patents include "High refresh-rate retrieval of freshly published content using distributed crawling" and "Dynamic-content web crawling through traffic monitoring." The first patent describes a system designed for maximal gathering of fresh information added to a network, such as the Internet. It involves a link server that sends a batch of links to a crawler, which filters and extracts only new or changed content. This system minimizes bandwidth usage while ensuring that web mining applications receive timely updates.
The second patent introduces a dynamic-content web crawler that monitors web traffic to identify substantive content of interest. This innovative approach involves parsing web page content into subcomponents and using checksums to detect recurring elements. Changes in these subcomponents trigger notifications to data-mining applications, streamlining the process of content discovery.
Career Highlights
Jacob William Green is currently affiliated with The Johns Hopkins University, where he continues to advance his research in web technologies. His work has positioned him as a key figure in the development of efficient data retrieval systems.
Collaborations
Jacob has collaborated with notable colleagues, including John Lane Schultz and Yair Amir, contributing to the advancement of their shared research interests.
Conclusion
Jacob William Green's innovative patents and contributions to web crawling technologies highlight his role as a leading inventor in the field. His work not only enhances the efficiency of information retrieval but also paves the way for future advancements in data mining applications.