SEQUENCED MODIFICATION OF MULTIPLE ENTITIES BASED ON AN ABSTRACT DATA REPRESENTATION

Patent №

US 7,398,263

Granted

2008-07-08

Filed 2003

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10403960

The present invention is generally directed to a system, method and article of manufacture for modifying data represented abstractly through an abstraction model. In one embodiment, a data repository abstraction layer provides a logical view of an underlying data repository that is independent of the particular manner of data representation. A query abstraction layer is also provided and is based on the data repository abstraction layer. A runtime component performs transformation of an abstract query into a form that can be used against a particular physical data representation. The transformation includes ordering physical modification operations according to a physical entity relationships specification to ensure that the physical modification operations are executed in an appropriate order.

Natural languageKnowledge representationPlanningAI hardwareG06F 16/2428G06F 16/2423Y10S 707/99931Y10S 707/99934

AI classification

AI hardware1.00
Planning1.00
Natural language0.99
Knowledge representation0.97
Machine learning0.12
Speech0.00
Vision0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 139260317

Assignors

DETTINGER, RICHARD D., LA ROCCA, JENNIFER L., STEVENS, RICHARD J.

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

From the same owner

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