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Data integration systems attempt to provide users with seamless and flexible access to information from multiple autonomous, distributed and heterogeneous data sources through a unified query interface. Besides data are continuously growing, maintained by different organizations and managed autonomously, querying data from heterogeneous data sources faces new challenges. As data integration has been automated, the ambiguity in concept interpretation also known as semantic heterogeneity has become one of the main obstacles to this process. Introduction of the Semantic Web Vision and the shift towards machine-understandable web resources have underscored the importance of automatic semantic integration of data elements.
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