DIRECTED NON-CYCLIC GRAPH WALKING SYSTEM AND METHOD

Patent №

US 6,922,692

Granted

2005-07-26

Filed 2001

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10039725

A system and method for efficiently walking a directed non-cyclic graph of data using multiple analysis tools. Provided is a graph walking system, including: a binding system for binding a graph observer with a data graph, for binding node patterns to node observers to generate at least one node pattern/node observer pair, and for binding the data graph observer to at least one node pattern/node observer pairing, and wherein each node pattern includes a computed set of target sub-node patterns; a node relationship graph (NRG), wherein each node in the NRG corresponds to at least one node in the data graph, and wherein each node in the NRG includes a computed set of valid sub-node patterns; graph walking logic for systematically walking through nodes in the data graph and corresponding nodes in the NRG; and a pattern testing system that determines if the set of target sub-node patterns for a node pattern matches the set of valid sub-node patterns for a corresponding NRG node when a node is encountered in the data graph.

Knowledge representationPlanningAI hardwareG06F 16/9024Y10S 707/99936Y10S 707/99943

AI classification

Planning1.00
Knowledge representation1.00
AI hardware0.80
Vision0.32
Machine learning0.26
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 127430777

Assignors

CLEWIS, FRED T., SITZE, RICHARD A.

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

From the same owner

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