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An ontology-based approach for integrating heterogeneous databases

Reza Asgari / Milad Gholipoor Moghadam / Mehregan Mahdavi
  • Department of Computer Science and Engineering, University of Guilan, Iran
  • School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Aida Erfanian
Published Online: 2015-09-24 | DOI: https://doi.org/10.1515/comp-2015-0002


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.

Keywords: data integration; ontology; data heterogeneity; distributed databases


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About the article

Received: 2011-06-19

Accepted: 2015-07-20

Published Online: 2015-09-24

Citation Information: Open Computer Science, Volume 5, Issue 1, ISSN (Online) 2299-1093, DOI: https://doi.org/10.1515/comp-2015-0002.

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©2015 R. Asgari et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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