International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 83 - Issue 9 |
Published: December 2013 |
Authors: Mehedi Masud, Md Anisur Rahman |
![]() |
Mehedi Masud, Md Anisur Rahman . Schema Level and Data Level Mapping Composition. International Journal of Computer Applications. 83, 9 (December 2013), 1-5. DOI=10.5120/14473-2774
@article{ 10.5120/14473-2774, author = { Mehedi Masud,Md Anisur Rahman }, title = { Schema Level and Data Level Mapping Composition }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 83 }, number = { 9 }, pages = { 1-5 }, doi = { 10.5120/14473-2774 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Mehedi Masud %A Md Anisur Rahman %T Schema Level and Data Level Mapping Composition%T %J International Journal of Computer Applications %V 83 %N 9 %P 1-5 %R 10.5120/14473-2774 %I Foundation of Computer Science (FCS), NY, USA
Schema mappings and data mappings constitute essential building blocks of data integration, data exchange and peer-to-peer data sharing systems. At present, either schema-level mappings or datalevel mappings are used for data sharing purposes. In this paper we consider the semantics of bi-level mapping that combines the schema-level and data-level mappings. Tabular representation of the mappings helps to solve many mapping-related algorithmic and semantic problems, like mapping composition. Composition of mappings between sources has several computational advantages in a peer data sharing system, such as yielding more efficient query translation and pruning redundant paths. Considering the need of mapping composistion, this paper presents a mechanism for composing two bi-level mappings by using tableaux.