The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 21, 2009

Filed:

Apr. 28, 2006
Applicants:

Maria Athelogou, Munich, DE;

Konstantinos Bobolas, Munich, DE;

Renate Binnig, Kottgeisering, DE;

Peter Eschenbacher, Altomünster, DE;

Guenter Schmidt, Munich, DE;

Inventors:

Maria Athelogou, Munich, DE;

Konstantinos Bobolas, Munich, DE;

Renate Binnig, Kottgeisering, DE;

Peter Eschenbacher, Altomünster, DE;

Guenter Schmidt, Munich, DE;

Assignee:

Definiens AG, Munich, DE;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01);
U.S. Cl.
CPC ...
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.


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