Northville, MI, United States of America

Jeffrey A Moffa

This inventor holds 4 USPTO granted patents. Top assignee: Emergent Systems Corporation. Active years: 2013-2018.


% Patents Active = 50.0

Average Co-Inventor Count = 1.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2013-2018

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4 patents (USPTO):Explore Patents

Title: Innovations by Jeffrey A Moffa

Introduction

Jeffrey A Moffa is an accomplished inventor based in Northville, MI (US). He has made significant contributions to the field of knowledge management systems, holding a total of 4 patents. His work focuses on enhancing data quality and user expertise within these systems.

Latest Patents

Moffa's latest patents include a "Method for determining data quality in a knowledge management system." This innovative method calculates a confidence score for a data element that includes substantive technical data in a computer-interpretable form. The process involves encoding the data, tracking component factors, calculating component scores, and ultimately determining the confidence score based on these factors.

Another notable patent is the "Method for determining expertise of users in a knowledge management system." This method identifies a first knowledge element and assesses user actions related to similar knowledge elements. It calculates an expertise component value based on the actions taken and the similarity of knowledge elements, ultimately determining the user's expertise level in relation to the subject matter.

Career Highlights

Jeffrey A Moffa is currently associated with Emergent Systems Corporation, where he applies his expertise in developing innovative solutions for knowledge management. His work has been instrumental in advancing the capabilities of systems that manage and utilize data effectively.

Conclusion

Jeffrey A Moffa's contributions to knowledge management systems through his patents demonstrate his commitment to innovation and excellence in the field. His methods for assessing data quality and user expertise are valuable advancements that enhance the functionality of these systems.

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