Declarative Data Cleaning: Language, Model, and Algorithms

By Helena Galhardas, Daniela Florescu, D. Shasha, Eric J. Simon, Cristian-Augustin Saita. 2001

20 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jayant Madhavan
2. Felix Naumann
3. Xin Luna Dong
4. Alon Y. Halevy
5. Jens Bleiholder
6. Pavel Shvaiko
7. Jérôme Euzenat
8. Tom Heath

Citations in the corpus

• AlphaClean: Automatic Generation of Data Cleaning Pipelines (2019, neutral): “an that generate cleaning pipelines. Languages for data transformations have been well-studied, and include seminal works by Raman and Hellerstein [39] for schema transformations and Galhardas et al. [18] for declarative data cleaning. These ideas were later extended in the Wisteria project [22] to ”
• Data fusion (2009, methodology): “The data cleansing process in the Ajax system [Galhardas et al. 2000a, 2000b, 2001] is de.ned as a work.ow on a logical layer using a declarative language.”
• Reference reconciliation in complex information spaces (2005, methodology): “The classiflcation of candidate reference pairs into match and non-match pairs is done through a variety of methods: (a) rule-based methods [21, 24, 18 , 22] that allow human experts to specify matching rules declaratively; (b) unsupervised learning methods [36] that employ the Expectation-Maximiza”