A Survey: Different Approaches to Integrate Data Using Ontology and Methodologies to Improve the Quality of Data

Authors

  • Sowmya Devi L Computer Science & Engineering, Kumaraguru College of Technology, India
  • Jai Barathi B Computer Science & Engineering, Kumaraguru College of Technology, India
  • Hema MS Computer Science & Engineering, Kumaraguru College of Technology, India

Keywords:

Data Integration, Ontology, Semantic heterogeneity, Data quality

Abstract

This In today’s world, the amount of data is increasing tremendously. In order to analyze data and make decisions, data residing at different sources are integrated. Data integration is an approach to integrate data from different data sources. Data federation is a data integration strategy used to create integrated virtual view. This paper deals with various approaches of data integration to resolve semantic heterogeneity using ontology. Various ontology based data integration techniques are reviewed and issues are summarized. Different metrics and approaches are also discussed to improve the quality of the data.

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Published

2014-12-06

How to Cite

[1]
L. Sowmya Devi, B. Jai Barathi, and H. MS, “A Survey: Different Approaches to Integrate Data Using Ontology and Methodologies to Improve the Quality of Data: ”, Int. J. Comp. Sci. Eng., vol. 2, no. 11, pp. 126–131, Dec. 2014.

Issue

Vol. 2 No. 11 (2014): IJCSE November Edition

Section

Survey Article

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