This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: America Online, Inc.. Active years: 2007.
Company Filing History:
Years Active: 2007
Title: The Innovative Contributions of Jennifer Weis
Introduction
Jennifer Weis is a notable inventor based in Seattle, WA (US). She has made significant contributions to the field of data management and indexing. Her innovative approach has led to the development of a unique patent that enhances the efficiency of automated agents in searching network-based data stores.
Latest Patents
Jennifer holds a patent for a "Method and system for rule based indexing of multiple data structures." This invention provides a system and process for augmenting automated agents to search network-based data stores. It generates a set of rules that describes the contents contained within structured data stores. This set of rules allows an automated agent to perform a focused search of a structured data store, thus eliminating the need to search for unnecessary content. The structure of the data store is defined, and entities are categorized. Additionally, templates are created that define data, such as metadata fields, related to the entities. These definitions, categorizations, and templates are incorporated into the set of rules, which is utilized by the agent to search a data store on a network, such as a website.
Career Highlights
Jennifer Weis is currently employed at America Online, Inc. Her work has been instrumental in advancing the capabilities of automated data searching. With her innovative mindset, she continues to push the boundaries of technology in her field.
Collaborations
Jennifer has collaborated with notable colleagues, including Srinivasan Sudanagunta and Michael Gerald Maitlen. These partnerships have contributed to the development and refinement of her innovative ideas.
Conclusion
Jennifer Weis exemplifies the spirit of innovation in the realm of data management. Her contributions through her patent have the potential to significantly enhance the efficiency of automated data searching. Her work continues to inspire advancements in technology and data processing.