A Survey: Approaches to Enhance the Data Integration using Ontology and Methodologies to Improve Data Quality |
Author(s): |
| Pravithra CNS , Kumaraguru college of technology; Hema MS, Kumaraguru college of technology; sumathi VP, Kumaraguru college of technology |
Keywords: |
| Ontology, Data Integration, Data Quality, Semantic Heterogeneity |
Abstract |
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In the today’s world, the amount of the data is been increasing tremendously. In order to analyse the data and make decisions on the data, data residing at the different sources are integrated by providing users. The data integration is the solution for above said problem. The complete data integration solution encompasses the discovering, monitoring, transforming and delivery of the data from a variety of sources. This paper deals with various approaches of the data integration to resolve the semantic heterogeneity using ontology. Various levels of ontology based data integration techniques are reviewed and the issues are summarized. Different metrics and the approaches are also discussed to improve the data quality using biomedical database. |
Other Details |
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Paper ID: IJSRDV3I50399 Published in: Volume : 3, Issue : 5 Publication Date: 01/08/2015 Page(s): 1485-1491 |
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