GENERATING DATABASE SCHEMAS FOR RELATIONAL AND MARKUP LANGUAGE DATA FROM A CONCEPTUAL MODEL
Patent №
US 7,630,993
Granted
2009-12-08
Filed 2007
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
5
ml · nlp · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11754450
A method, information processing system, and computer readable medium for generating a plurality of candidate database schemas including relational and mark-up language elements. An information model comprising a plurality of entities and at least one relationship defined there between is received. The information model has been annotated with at least one semantic characteristic, operational characteristic, and evolutional characteristic. The information model that has been annotated is analyzed. A score is associated with each entity based at least in part on attributes associated with each entity. Each entity is classified as one of a relational element and a mark-up language element. The information model that has been annotated is partitioned into a plurality of relational element mappings and a plurality of mark-up language element mappings. A plurality of database schemas associated with the information model that has been annotated is generated.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 193490257
Assignors
ADLER, SHARON C., CHANG, YUAN-CHI, LIM, LIPYEOW, MORO, MIRELLA M.
On an employer assignment, the assignors are typically the inventors.