Keswick, VA, United States of America

Jason O Watson


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 58(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: Jason O Watson: Innovator in Graphical Data Representation

Introduction

Jason O Watson is an accomplished inventor based in Keswick, VA (US). He has made significant contributions to the field of data representation through his innovative patent. His work focuses on enhancing the understanding of complex data relationships, which is crucial in various applications.

Latest Patents

Jason holds a patent titled "Method and system for graphical representation of multitemporal, multidimensional data relationships." This patent describes a method and system for determining the likely uniqueness and novelty of a subject concept, such as a patent, in comparison with other published references. The process involves examining the subject concept in the context of references published both before and after it. By identifying instances where a particular reference can be determined to be an ancestor or progeny of the subject concept, the system constructs and displays a morphogenetic icon to represent these multi-dimensional, multi-temporal relationships in a two-dimensional manner. He has 1 patent to his name.

Career Highlights

Jason is currently associated with M.cam, Inc., where he applies his expertise in data representation. His innovative approach has positioned him as a key player in the development of advanced data visualization techniques. His work is instrumental in helping organizations better understand and utilize complex data sets.

Collaborations

Jason has collaborated with notable individuals in his field, including David S Winer and David E Martin. These collaborations have further enriched his work and contributed to the advancement of innovative solutions in data representation.

Conclusion

Jason O Watson is a pioneering inventor whose work in graphical data representation has the potential to transform how we understand complex data relationships. His contributions are invaluable in the ongoing quest for innovation in data visualization.

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