Company Filing History:
Years Active: 2021
Title: Mark B Hughes: Innovator in Relationship Visualization Technology
Introduction
Mark B Hughes is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of data visualization and relationship identification among record entities. His innovative approach has led to the development of a unique patent that enhances the understanding of complex data relationships.
Latest Patents
Mark B Hughes holds a patent titled "Identifying and visualizing relationships and commonalities amongst record entities." This patent provides a capability to identify and visualize relationships and commonalities among various record entities. The process involves extracting a plurality of entities from one or more records and associating each extracted entity with a respective feature vector within a vector space of a feature matrix. The feature vectors are strategically distributed within the feature matrix based on semantic relationships among the entities of a corpus. Furthermore, multidimensional coordinates within a dimensionally-reduced vector space of the feature matrix are generated for each extracted entity. The patent also identifies one or more cells of a cellular presentation of the feature matrix, where each identified cell represents one or more respective extracted entities.
Career Highlights
Mark B Hughes is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing technologies that facilitate better data management and visualization. His expertise in this area has positioned him as a valuable asset to the company.
Collaborations
Throughout his career, Mark has collaborated with several talented individuals, including Joao H Bettencourt Da Silva and Spyros Kotoulas. These collaborations have further enriched his work and contributed to the development of innovative solutions in the field.
Conclusion
Mark B Hughes is a distinguished inventor whose work in identifying and visualizing relationships among record entities has made a significant impact in the field of data technology. His contributions continue to influence advancements in data management and visualization.