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An ontology-based approach for integrating heterogeneous databases

An ontology-based approach for integrating heterogeneous databases Abstract 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Open Computer Science de Gruyter

An ontology-based approach for integrating heterogeneous databases

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References (18)

Publisher
de Gruyter
Copyright
Copyright © 2015 by the
ISSN
2299-1093
eISSN
2299-1093
DOI
10.1515/comp-2015-0002
Publisher site
See Article on Publisher Site

Abstract

Abstract 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.

Journal

Open Computer Sciencede Gruyter

Published: Sep 24, 2015

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