Michael Neumann

Title: Michael Neumann: Innovator in Semantic Networks

Introduction

Michael Neumann is a notable inventor based in Speyer, Germany. He has made significant contributions to the field of semantic networks, holding a total of 11 patents. His work focuses on methods and systems that enhance the understanding and utilization of contextual data.

Latest Patents

Among his latest patents, one titled "Distance in contextual network graph" describes a method and apparatus for determining relationships between objects in a meta-model semantic network. This innovation involves generating a contextual network graph comprising nodes and edges that represent semantic objects and relationships. The unique identifiers created for each node and edge are utilized to compute information regarding cost and energy between the nodes, which is then stored in a meta-model semantic network database. Another significant patent is "Importing data to a semantic graph," which outlines methods for collecting data from an information source and importing it into a semantic graph through a structured communication protocol.

Career Highlights

Throughout his career, Michael Neumann has worked with prominent companies such as SAP SE and Intelligent Views GmbH. His experience in these organizations has allowed him to refine his expertise in semantic technologies and contribute to innovative solutions in the industry.

Collaborations

Michael has collaborated with notable professionals in his field, including Stefan Scheidl and Robert Heidasch. These partnerships have further enriched his work and expanded the impact of his inventions.

Conclusion

Michael Neumann's contributions to the field of semantic networks through his patents and collaborations highlight his role as a leading innovator. His work continues to influence the way data is understood and utilized in various applications.