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Dataxformer: Leveraging the Web for Semantic Transformations
Conference on Innovative Data Systems Research
Data transformation is a crucial step in data integration. While some transformations, such as liters to gallons, can be easily performed by applying a formula or a program on the input values, others, such as zip code to city, require sifting through a repository containing explicit value mappings. There are already powerful systems that provide formulae and algorithms for transformations. However, the automated identification of reference datasets to support value mapping remains largelydblp:conf/cidr/AbedjanMGISPO15 fatcat:kd6wxg56ufd5pfdkjtwlb3ncau