EXTRACTING INFORMATION FROM INPUT DATA USING A SEMANTIC COGNITION NETWORK

Patent №

US 7,146,380

Granted

2006-12-05

Filed 2003

Owner

DEFINIENS AG

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10687477

A method is disclosed for extracting information from input data comprising mapping of the input data into a data object network. The method uses a semantic cognition network comprised of the data object network, a class object network and a processing object network. The semantic cognition network uses a set of algorithms to process the semantic units. The semantic cognition network defines a processing object in the processing object network by selecting a data domain in the data object network, a class domain in the class object network and an algorithm from the set of algorithms. The processing object comprises the data domain, the class domain and the algorithm. The processing object is used in the processing object network to process the semantic units.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06N 5/022G06V 10/422G06V 20/69G06V 10/248Y10S 707/99943Y10S 707/99944Y10S 707/99945Y10S 707/99946

AI classification

Natural language1.00
Machine learning1.00
Planning1.00
Knowledge representation1.00
Vision0.99
AI hardware0.99
Evolutionary computation0.00
Speech0.00

Ownership

DEFINIENS AG

assignment · 151130861

Assignors

SHAEPE, ARNO, ATHELOGOU, DR. MARIE, BENZ, DR. URSULA, KRUG, CHRISTOF, BINNING, DR. GERD

On an employer assignment, the assignors are typically the inventors.

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