Paper Info
Title
Synthesis of the canonical models for database integration preserving semantics of the value inventive data models
Abstract
Recently families of sets of dependencies treated as the Datalog extensions were discovered for which the interpretation of queries becomes tractable. Such families are intended for inference of new, unknown values in the process of query answering. This paper considers such decidable classes of dependencies as the assets for creation of new data models (called in the paper the value inventive data models) analogously to axiomatic extension of the canonical model kernel used so far for unification of structured and object data models aimed at heterogeneous database integration. The paper examines the decidable classes of dependencies reflecting the semantics of value inventive data models considering such classes to be the extensions of the canonical data model kernel. The issue of identifying of decidable subsets of the canonical model extension is considered.
Year
DOI
Venue
2012
10.1007/978-3-642-33074-2_17
ADBIS
Keywords
Field
DocType
database integration,canonical data model kernel,value inventive data model,unknown value,canonical model kernel,new data model,decidable class,datalog extension,decidable subsets,canonical model extension,object data model
Data integration,Data mining,Data modeling,Computer science,Axiom,Inference,Unification,Decidability,Canonical model,Datalog,Database
Conference
Citations 
PageRank 
References 
1
0.37
20
Authors
2
Name
Order
Citations
PageRank
Leonid Kalinichenko110.70
Sergey A. Stupnikov22414.37