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Conflict Identification and Resolution in Heterogeneous Datasets: A Comprehensive Survey

by I.carol, S.britto Ramesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 12
Year of Publication: 2015
Authors: I.carol, S.britto Ramesh Kumar
10.5120/19879-1885

I.carol, S.britto Ramesh Kumar . Conflict Identification and Resolution in Heterogeneous Datasets: A Comprehensive Survey. International Journal of Computer Applications. 113, 12 ( March 2015), 22-27. DOI=10.5120/19879-1885

@article{ 10.5120/19879-1885,
author = { I.carol, S.britto Ramesh Kumar },
title = { Conflict Identification and Resolution in Heterogeneous Datasets: A Comprehensive Survey },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 12 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number12/19879-1885/ },
doi = { 10.5120/19879-1885 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:46.163023+05:30
%A I.carol
%A S.britto Ramesh Kumar
%T Conflict Identification and Resolution in Heterogeneous Datasets: A Comprehensive Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 12
%P 22-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data Integration has become the vital necessities of today's interconnected world. Information is scattered everywhere and to retain the strategic advantage, it becomes mandatory for organizations to obtain as much information as possible. Hence combining the scattered data sources to obtain information becomes the only solution. Data integration is posed by several challenges including the basic nature (heterogeneity) of the data. This paper describes the basic elements of a data integration system and emphasizes on the data fusion phase which forms the core functionality of the architecture. The problems occurring during data fusion (conflicts) are discussed and it also provides a comprehensive survey of the techniques used to resolve conflicts. Functionalities lacking in the current system and future research directions are discussed in detail.

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Index Terms

Computer Science
Information Sciences

Keywords

Conflict Identification Resolution Datasets

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