Learning-Based Approaches for Matching Web Data Entities

@article{Kpcke2010LearningBasedAF,
  title={Learning-Based Approaches for Matching Web Data Entities},
  author={Hanna K{\"o}pcke and Andreas Thor and Erhard Rahm},
  journal={IEEE Internet Computing},
  year={2010},
  volume={14},
  pages={23-31}
}
Entity matching is a key task for data integration and especially challenging for Web data. Effective entity matching typically requires combining several match techniques and finding suitable configuration parameters, such as similarity thresholds. The authors investigate to what degree machine learning helps semi-automatically determine suitable match strategies with a limited amount of manual training effort. They use a new framework, Fever, to evaluate several learning-based approaches for… CONTINUE READING
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