GENERATING IN AND EXISTS QUERIES USING TENSOR REPRESENTATIONS

Patent №

US 6,745,173

Granted

2004-06-01

Filed 2000

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09593355

Query results and statistics regarding them are generated using a novel representation of an n-attribute relation as an order n relational tensor. Orders of the relational tensor respectively correspond to each of the attributes, and each coordinate along an order relates to a key value of the corresponding attribute. Numeric values are stored in the relational tensor, each numeric value representing a count of tuples having the attribute key values that correspond to the coordinate of the numeric value along the orders of the relational tensor. This storage representation is useful in a variety of contexts for enhancing the performance of a RDBMS system. Specifically, a data-representing relational tensor can be used to produce results for operations such as SQL restriction operations using IN and EXISTS criteria.

Knowledge representationPlanningG06F 16/2462G06F 16/2237G06F 16/24535G06F 16/24545Y10S 707/99932

AI classification

Knowledge representation0.97
Planning0.83
AI hardware0.29
Machine learning0.12
Natural language0.07
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 112020247

Assignors

AMUNDSEN, LANCE CHRISTOPHER

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

From the same owner

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