Paper Info
Title
Algebraic Meta-structure Handling of Huge Database Schemata
Abstract
Practical experience shows that the maintenance of databases with a very large schema causes severe problems, and no systematic support is provided. In a recent study based on the analysis of a large number of very large database schemata twelve frequently recurring meta-structures were identified and classified into three categories associated with schema construction, lifespan and context. The systematic use of these meta-structures supports the modelling and maintenance of very large database schemata. In this paper we complement this study by a schema algebra that permits building larger schemata by composing smaller ones. Similar to abstraction mechanisms found in semantic data models the constructors can be classified into three groups for building associations and collections of subschemata, and for folding subschemata.
Year
DOI
Venue
2009
10.1007/978-3-642-04947-7_3
ER Workshops
Keywords
Field
DocType
huge database schemata,large schema,systematic use,algebraic meta-structure handling,larger schema,large number,large database schema,recent study,folding subschemata,schema construction,systematic support,schema algebra,semantic data model,very large database
Data mining,Conceptual schema,Star schema,Schema migration,Semi-structured model,Computer science,Very large database,Database schema,Schema (psychology),Database,Semantic data model
Conference
Volume
ISSN
Citations 
5833
0302-9743
2
PageRank 
References 
Authors
0.39
10
3
Name
Order
Citations
PageRank
Hui Ma1746.00
René Noack2174.32
Klaus-dieter Schewe31367202.78