Situation dependent operation of a semantic network machine

US7523079B2 · kind B2 · utility

Assignee

• Definiens GmbH · DE

Inventors

• Maria Athelogou · Munich, DE
• Konstantinos Bobolas · Munich, DE
• Renate Binnig · Kottgeisering, DE
• Peter Eschenbacher · Neunkirchen, DE
• Guenter Schmidt · Leun, DE

Key dates

• Filing date: Apr 28, 2006
• Grant date: Apr 21, 2009
• Expiry date: Jul 18, 2027

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y10S707/99942
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A computer-implemented network structure includes a semantic network machine comprised of nodes containing informational contents and links containing relational contents. Relational contents describe the relationship between linked nodes. Some of the nodes are semantic Janus units. Based on time-variable states of each semantic Janus unit, the semantic Janus units perform operations on nodes and links. The operations are focused on selected portions of the semantic network machine such that each semantic Janus unit need not deal with all possible informational and relational contents within the semantic network machine. The computational resources of the computer network are thereby efficiently managed, and artificial intelligence tasks such as inferential retrieval are performed quicker. The amount of data that is processed is substantially reduced by focusing on bundled information. The semantic network is used for pattern recognition, for example, to recognize blood vessels in a medical image or streets on a digital satellite image.