Research data supporting "A Simple and Efficient Approach to Unsupervised Instance Matching and its Application to Linked Data of Power Plants"
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下载链接：
https://www.repository.cam.ac.uk/handle/1810/369313
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资源简介：
The ZIP archive contains files for two new domains: Power plants in the United Kingdom and in Germany, respectively. The files have been used to train and evaluate algorithms in the field of instance matching. For each domain, there is a subdirectory containing two data files (tableA.csv and tableB.csv) and three labelled sample files (train.csv, valid.csv and test.csv). The files use Magellan's CSV format (see https://github.com/anhaidgroup/deepmatcher/blob/master/Datasets.md). The README.txt file contains additional information. The instance matching code was published on https://github.com/cambridge-cares/TheWorldAvatar.
提供机构：
Apollo - University of Cambridge Repository
创建时间：
2022-03-17
