A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces

@article{Papadakis2013ABF,
  title={A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces},
  author={George Papadakis and Ekaterini Ioannou and Themis Palpanas and Claudia Nieder{\'e}e and Wolfgang Nejdl},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2013},
  volume={25},
  pages={2665-2682}
}
In the context of entity resolution (ER) in highly heterogeneous, noisy, user-generated entity collections, practically all block building methods employ redundancy to achieve high effectiveness. This practice, however, results in a high number of pairwise comparisons, with a negative impact on efficiency. Existing block processing strategies aim at discarding unnecessary comparisons at no cost in effectiveness. In this paper, we systemize blocking methods for clean-clean ER (an inherently… CONTINUE READING
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