Company Filing History:
Years Active: 2010
Title: Ágnes Sándor: Innovator in Concept Matching Systems
Introduction
Ágnes Sándor is a notable inventor based in Meylan, France. He has made significant contributions to the field of information retrieval through his innovative patents. With a total of 2 patents, Sándor's work focuses on developing systems that enhance the retrieval of documents related to specific concepts.
Latest Patents
Sándor's latest patents include a "Concept Matching System" and a method for "Concept Matching." The Concept Matching System is designed to retrieve documents related to a concept from a text corpus. It utilizes a set of stored semantic classes that can be combined to express the concept. Each class includes a set of keywords, with syntactic rules applied to identified text portions containing these keywords. The system identifies text portions that satisfy the established rules, allowing for efficient document retrieval.
The method for Concept Matching involves developing a system that retrieves text related to a selected concept within a text corpus. This includes identifying semantic classes and keywords for each class, which are essential for text searching. A plurality of syntactic rules is established to apply to the retrieved text, ensuring that the relationships between keywords from different semantic classes are effectively analyzed.
Career Highlights
Ágnes Sándor is currently employed at Xerox Corporation, a leading company in the field of technology and innovation. His work at Xerox has allowed him to further develop his expertise in information retrieval systems and contribute to advancements in the industry.
Collaborations
Sándor collaborates with Aaron N Kaplan, a fellow innovator in the field. Their partnership has likely fostered the exchange of ideas and enhanced the development of their respective projects.
Conclusion
Ágnes Sándor's contributions to the field of concept matching systems demonstrate his innovative spirit and dedication to improving information retrieval. His patents reflect a deep understanding of semantic relationships and the importance of effective document retrieval. Sándor's work continues to influence advancements in technology and information systems.