Paper Info
Title
Restructuring for large data bases: three levels of abstraction
Abstract
The development of a powerful restructuring function involves two important components - the unambiguous specification of the restructuring operations and the realization of these operations in a software system. We direct our efforts to the first component in the belief that a precise specification will provide a firm foundation for restructuring algorithms and implementations. This paper defines completely the semantics of the restructuring of tree structured data bases. The delineation of the restructuring function is accomplished by formulating three different levels of abstraction, with each level of abstraction representing successively more detailed semantics of the function. At the first level of abstraction, the schema modification, three types are identified: naming, combining and relating, and are further divided into eight schema operations. The second level of abstraction, the instance operations, constitutes the transformations on the data instances. They are divided into group operations such as replication, factoring, union and group relation operations such as collapsing, refinement, fusion etc. The final level, the item values operations, includes the actual item operations such as copy value, delete value, or create a null value.
Year
DOI
Venue
1976
10.1145/1095277.1095283
ACM Trans. Database Syst.
Keywords
Field
DocType
data translation,restructuring operation,different level,restructuring algorithm,data definition,data restructuring,restructuring function,powerful restructuring function,data base,large data base,copy value,actual item operation,null value,final level
Data mining,Programming language,Abstraction,Computer science,Data definition language,Implementation,Software system,Schema (psychology),Null (SQL),Database,Semantics,Restructuring
Journal
Volume
Issue
Citations 
10
3
40
PageRank 
References 
Authors
36.65
21
2
Name
Order
Citations
PageRank
Shamkant Navathe145632112.44
James P. Fry2702481.74