Company Filing History:
Years Active: 2015-2020
Title: Klaus Reichenberger: Innovator in Semantic Networks
Introduction
Klaus Reichenberger is a notable inventor based in Frankfurt-am-Main, Germany. He has made significant contributions to the field of semantic networks, holding a total of 11 patents. His work focuses on methods and apparatuses that enhance the understanding and processing of relationships between objects in complex data structures.
Latest Patents
One of his latest patents is titled "Distance in contextual network graph." This invention describes a method and apparatus for determining relationships between objects in a meta-model semantic network. A contextual network graph is generated, comprising nodes and edges that represent semantic objects and relationships. This graph is utilized to create unique identifiers for each node and edge, which are then used to compute information regarding cost and energy between the nodes. This information is stored in a meta-model semantic network database.
Another significant patent involves "Searches for similar documents." In this embodiment, a method is provided for searching similar documents by accessing a document and identifying terms from a meta-model semantic network. The document is analyzed to determine the frequency of occurrence of these terms, and a search is conducted for other documents with similar frequencies. This method enhances the efficiency of document retrieval in semantic networks.
Career Highlights
Klaus has worked with prominent companies such as SAP SE and Intelligent Views GmbH. His experience in these organizations has allowed him to develop and refine his innovative ideas in the realm of semantic networks.
Collaborations
Throughout his career, Klaus has collaborated with talented individuals, including Stefan Scheidl and Stephan Brand. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Klaus Reichenberger is a distinguished inventor whose work in semantic networks has led to valuable patents and innovative solutions. His contributions continue to influence the field and enhance the understanding of complex data relationships.