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State-of-the-art instance matching approaches do not perform well when used for matching instances across heterogeneous datasets. This shortcoming derives from their core operation depending on direct matching, which involves a direct comparison of instances in the source with instances in the target dataset. Direct matching is not suitable when the overlap between the datasets is small. Aiming at...
The dramatic increase of heterogeneous data resources, whether they are semantic knowledge bases or databases, demands for an automatic data integration technique, which is directly affected by the weight of property associated to instances or data. Choosing a suitable metric for generating weight for a property automatically is nevertheless a formidable task. In this study, we analyze different metrics...
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