A RELATIONAL DATABASE SYSTEM FOR STORING NODES OF A HIERARCHIAL INDEX OF MULTI-DIMENSIONAL DATA IN A FIRST MODULE AND METADATA REGARDING THE INDEX IN A SECOND MODULE

Patent №

US 6,505,205

Granted

2003-01-07

Filed 2002

Owner

Lab

AI components

2

kr · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

10037923

A system and method for indexing and storing multi-dimensional or multi-attribute data. Data items are recursively sorted in a selected dimension (e.g., the dimension having the greatest variance) and divided until each subdivision fits into a leaf node having a specified fanout. Intermediate nodes and a root node are constructed to complete the index. Each node of the index is stored in a database as a separate object or record and may include a node identifier of the unique, an identifier of a parent and/or a sibling node and an entry for each child of the node, which may be data items or other nodes. Each record entry for a child includes an associated bounding area encompassing descendant data items. Another database table or module may store information about the index, such as the dimensionality of the data, the index fanout and an identifier of a root of the index.

Knowledge representationAI hardwareG06F 16/2264G06F 16/2246Y10S 707/99931Y10S 707/99932Y10S 707/99934Y10S 707/99937Y10S 707/99942Y10S 707/99943+1 more

AI classification

Knowledge representation1.00
AI hardware0.95
Planning0.25
Vision0.20
Evolutionary computation0.09
Natural language0.00
Machine learning0.00
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