Paper Info
Title
Performance of querying temporal attributes in object-relational databases
Abstract
In this paper we evaluate a model for temporal data utilizing the benefits of object-relational database systems (ORDBS). In particular we show how attribute time-stamping can be efficiently implemented in state-of-the-art ORDBS. The attribute timestamping concept is based on introducing user-specific types for temporal versions of datatypes. Moreover on the physical level we make use of user-defined index structures; in particular adapted spatialindexes based on generalized search trees are applied. These index structures greatly improve performance of important operators on both valid and bitemporal datatypes and show the effectiveness of this approach.
Year
DOI
Venue
2002
10.1109/TIME.2002.1027475
TIME
Keywords
Field
DocType
database indexing,object-oriented databases,query processing,relational databases,software performance evaluation,temporal databases,tree data structures,tree searching,attribute timestamping,bitemporal datatypes,generalized search trees,object-relational databases,performance,querying,spatial indexes,temporal attributes,temporal data model,temporal database,user-defined index structures
Information system,Data modeling,Data mining,Timestamping,Relational database,Information retrieval,Computer science,Tree (data structure),Search engine indexing,Temporal database,Database index
Conference
ISSN
ISBN
Citations 
1530-1311
0-7695-1474-X
1
PageRank 
References 
Authors
0.35
5
2
Name
Order
Citations
PageRank
Carsten Kleiner17321.21
udo w lipeck2552258.75