Abstract | ||
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AbstractProperty Graph databases are being increasingly used within the industry as a powerful and flexible way to model real-world scenarios. With this flexibility, a great challenge appears regarding profiling tasks due to the need of adapting them to these new models while taking advantage of the Property Graphs’ particularities. This article proposes a set of data profiling tasks by integrating existing methods and techniques and an taxonomy to classify them. In addition, an application pipeline is provided while a formal specification of some tasks is defined. |
Year | DOI | Venue |
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2020 | 10.1145/3409473 | Journal of Data and Information Quality |
Keywords | DocType | Volume |
Property Graph, data profiling | Journal | 12 |
Issue | ISSN | Citations |
4 | 1936-1955 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sofía Maiolo | 1 | 0 | 0.34 |
Lorena Etcheverry | 2 | 107 | 7.97 |
Adriana Marotta | 3 | 34 | 7.47 |