METHOD OF TRANSFERRING HETEROGENEOUS DATA WITH MEANINGFUL INTERRELATIONSHIPS BETWEEN INCOMPATIBLE COMPUTERS USING A HIGH LEVEL TREE-SHAPE DATA STRUCTURE
Patent №
US 6,282,576
Granted
2001-08-28
Filed 1998
Owner
UNISYS CORPORATION
Lab
—
AI components
3
nlp · kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09157892
Heterogeneous data is transferred from a first computer to a second computer such that a) the data includes multiple data types in respective formats that are native to the first computer but are foreign to the second computer, and b) meaningful interrelationships among the multiple data types are conveyed. This transfer of the heterogeneous data is achieved by a method which includes the steps of: 1) generating, in the first computer, encoded subitems from the heterogeneous data where each subitem has a predetermined code; 2) combining, in the first computer, all of the subitems into a high level tree-shaped structure which has branches and tag fields that indicate various relationships between the subitems; 3) sending the high level structure from the first computer to the second computer; 4) parsing, in the second computer, the encoded subitems from the high level structure; and, 5) translating, in the second computer, each encoded subitem to a different format that is native to the second computer, based on the predetermined code.
AI classification
Ownership
UNISYS CORPORATION
assignment · 94770452
Assignors
LANE, ANDREW STEPHEN
On an employer assignment, the assignors are typically the inventors.