Large Scale Matching Issues and Advances
نویسندگان
چکیده
Recently, we are witnessing an explosive growth of data in the business and scientific area. In fact, there are many databases and information sources available through the web covering different domains: semantic Web, deep Web, e-business, biology, digital libraries, etc. In such domains, the data generated are heterogeneous and voluminous e.g schemas with several thousand elements are common in e-business applications. Currently, the greatest challenge to take up is to perform the integration of such heterogeneous collections of data. Matching techniques are solutions to automatically find correspondences between these data in order to allow their integration in information systems. Matching has found considerable interest in both research and practice. In fact, matching is an operaAbsTRACT
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تاریخ انتشار 2015