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Schema Level and Data Level Mapping Composition

by Mehedi Masud, Md Anisur Rahman
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 9
Year of Publication: 2013
Authors: Mehedi Masud, Md Anisur Rahman
10.5120/14473-2774

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 },
issue_date = { December 2013 },
volume = { 83 },
number = { 9 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number9/14473-2774/ },
doi = { 10.5120/14473-2774 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:58:52.117480+05:30
%A Mehedi Masud
%A Md Anisur Rahman
%T Schema Level and Data Level Mapping Composition
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 9
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Mappings data Interoperability mapping composition

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