An ontology-based approach for integrating heterogeneous databases

Integrating heterogeneous data in distributed databases has been a research issue for many years. In this paper, we discuss some of these problems and propose a solution using a semantic model. This semantic model is built upon the semantic relationships between existing data. Applying these semanti...

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Main Authors: Asgari Reza, Moghadam Milad Gholipoor, Mahdavi Mehregan, Erfanian Aida
Format: Article
Language:English
Published: De Gruyter 2015-09-01
Series:Open Computer Science
Subjects:
Online Access:https://doi.org/10.1515/comp-2015-0002
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spelling doaj-fbc0cbab04f14a318e32df5a2d57b2452021-09-06T19:19:42ZengDe GruyterOpen Computer Science2299-10932015-09-0151415010.1515/comp-2015-0002comp-2015-0002An ontology-based approach for integrating heterogeneous databasesAsgari Reza0Moghadam Milad Gholipoor1Mahdavi Mehregan2Erfanian Aida3Department of Computer Science and Engineering, University of Guilan, IranDepartment of Computer Science and Engineering, University of Guilan, IranDepartment of Computer Science and Engineering, University of Guilan, IranDepartment of Computer Engineering, Azad University-Lahijan Branch, Guilan, IranIntegrating heterogeneous data in distributed databases has been a research issue for many years. In this paper, we discuss some of these problems and propose a solution using a semantic model. This semantic model is built upon the semantic relationships between existing data. Applying these semantics enables us to take into account different dimensions of user queries and find the best possible answer for them. The proposed approach leads us to introducing "a common language that is understandable for all databases". We use such a common language in order to return an effective response to the user’s query, as well as reducing the problems of integration.https://doi.org/10.1515/comp-2015-0002data integration ontology data heterogeneity distributed databases
collection DOAJ
language English
format Article
sources DOAJ
author Asgari Reza
Moghadam Milad Gholipoor
Mahdavi Mehregan
Erfanian Aida
spellingShingle Asgari Reza
Moghadam Milad Gholipoor
Mahdavi Mehregan
Erfanian Aida
An ontology-based approach for integrating heterogeneous databases
Open Computer Science
data integration
ontology
data heterogeneity
distributed databases
author_facet Asgari Reza
Moghadam Milad Gholipoor
Mahdavi Mehregan
Erfanian Aida
author_sort Asgari Reza
title An ontology-based approach for integrating heterogeneous databases
title_short An ontology-based approach for integrating heterogeneous databases
title_full An ontology-based approach for integrating heterogeneous databases
title_fullStr An ontology-based approach for integrating heterogeneous databases
title_full_unstemmed An ontology-based approach for integrating heterogeneous databases
title_sort ontology-based approach for integrating heterogeneous databases
publisher De Gruyter
series Open Computer Science
issn 2299-1093
publishDate 2015-09-01
description Integrating heterogeneous data in distributed databases has been a research issue for many years. In this paper, we discuss some of these problems and propose a solution using a semantic model. This semantic model is built upon the semantic relationships between existing data. Applying these semantics enables us to take into account different dimensions of user queries and find the best possible answer for them. The proposed approach leads us to introducing "a common language that is understandable for all databases". We use such a common language in order to return an effective response to the user’s query, as well as reducing the problems of integration.
topic data integration
ontology
data heterogeneity
distributed databases
url https://doi.org/10.1515/comp-2015-0002
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