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311994

ETL Semantic Model for Big Data Aggregation, Integration, and Representation

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Last updated: 28 Dec 2024

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Abstract

 Semantic web introduces new benefits for many research topics on big-data. It semantically maintains a large amount of
data and provides meaningful meaning of unstructured data contents. Big data refers to large scale. It is used to describe a massive collection of datasets in different formats. The semantic and structural heterogeneity are the biggest problems
that still face the aggregating, integrating, and storing big data. In this paper, we solved both of the problems of columns
redundancy that are produced from the semantic heterogeneity and the problem of structural heterogeneity through
developing and implementing a new ETL model based on semantic and ontology technologies. Geospatial data is used
as a case study because its integration is complex and usually suffers from the variety of resources and the representation of the produced big data. The results of using this model showed that it solves the problem of heterogeneity in several data sources and it improves the data integration and representation. 

DOI

10.21608/mjcis.2018.311994

Keywords

Semantic Web, big-data, ontology, structural heterogeneity, semantic heterogeneity

Authors

First Name

Abeer

Last Name

Saber

MiddleName

-

Affiliation

Faculty of computers and information systems , C.S dep. Kafr El-Sheikh University, Kafr ElSheikh 33511, Egypt

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First Name

Aya

Last Name

M. Al-Zoghby

MiddleName

-

Affiliation

Faculty of computers and information systems , C.S dep. Mansoura University Mansoura 35516, Egypt

Email

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City

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Orcid

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First Name

Samir

Last Name

Elmougy

MiddleName

-

Affiliation

Faculty of computers and information systems , C.S dep. Mansoura University Mansoura 35516, Egypt

Email

mougy@mans.edu.eg

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-

Orcid

-

Volume

14

Article Issue

1

Related Issue

42819

Issue Date

2018-06-01

Receive Date

2023-08-10

Publish Date

2018-06-01

Page Start

27

Page End

36

Print ISSN

2090-1666

Online ISSN

2090-1674

Article File

MJCIS_Volume 14_Issue 1_Pages 27-36.pdf

PDF . 715.8kB

Link

https://mjcis.journals.ekb.eg/article_311994.html

Detail API

https://mjcis.journals.ekb.eg/service?article_code=311994

Order

311,994

Type

Original Research Articles.

Type Code

1,784

Publication Type

Journal

Publication Title

Mansoura Journal for Computer and Information Sciences

Publication Link

https://mjcis.journals.ekb.eg/

MainTitle

ETL Semantic Model for Big Data Aggregation, Integration, and Representation

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Article

Created At

28 Dec 2024