DATA REFERENCING WITHIN A DATABASE GRAPH

Patent №

US 7,305,409

Granted

2007-12-04

Filed 2003

Owner

Lab

AI components

1

kr

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

10685225

The present invention is directed to providing a higher degree of association between nodes and links in a graph by creating data structures (spiders) that provide views into graphs that transcend the relatively static association of a conventional graph. A spider's variables bind to any number of nodes and links in the graph, enabling all of the bound nodes and links by addressing the spider. By adding constraints on the extent or degree of binding in a spider to a graph, a subset of the graph is identified. The spider can then used to address the subset of the graph as constrained by the spider. A spider can bind to a link in order to identify a parent/child structural subset of the graph. More specifically a spider is a collection of variables that create a template or pattern and bind to the nodes and links in the graph. A spider traverses a graph by binding its variables to various nodes and links in the graph.

Knowledge representationG06F 16/30G06F 16/212Y10S 707/922Y10S 707/99933Y10S 707/99943Y10S 707/99944Y10S 707/99945Y10S 707/99948

AI classification

Knowledge representation1.00
Planning0.47
AI hardware0.09
Machine learning0.01
Vision0.01
Evolutionary computation0.00
Natural language0.00
Speech0.00
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