Cross Model Datum Access With Semantic Preservation For Universal Database

Abstract

Cross database model datum access with semantic preservation is provided. Data stored in a database under a particular database model can typically be inaccessible or not interoperable with data stored in another database model. A first datum of a first database model is transformed to an interim datum of an interim database model while preserving the data semantics associated with the first datum. Further, the second datum can be transformed into a third datum associated with a third database model, again while preserving the semantics. As such, data in a first silo can be accessed in a different silo while retaining semantic relationships. Further, the use of an interim database can reduce the processing needed to accomplish transforms between a planarity of database models.

Description

technical field [0001] Various embodiments of the present disclosure relate generally to database information access, eg, accessing database information across different database models with data semantic preservation. Background technique [0002] Traditional databases are associated with multiple database models. In general, database models vary and are not interoperable. Under a specific database model, the data stored in the database can be called "siloed data", for example, each database model acts as a separate silo (silo), so that the data stored in a database silo The data in a database is usually not directly accessible or directly interoperable with data stored in another database silo. Therefore, a database management system (DBMS) associated with one database silo (e.g., data stored under a first database model) is generally not compatible with another database silo (e.g., data stored under a second database model) The associated another database management sy...

AI Technical Summary

Problems solved by technology

When the first company buys the second company, merging the second company's data can be problematic, for example, the data may need to be rewritten into the first data model at the risk of losing data or semantics

Alternatively, the first company could operate the two databases independently, but internally face inconsistencies between the two databases, bear the costs associated with operating or maintaining two separate databases, etc.

Also, even if the first company had access to both the first and second databases, it would still face serious challenges in sharing data with the third company

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