| License: Creative Commons Attribution 4.0 PDF - Published Version (486kB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-772983
- DOI to cite this document:
- 10.5283/epub.77298
Abstract
We present jHound, a tool for profiling large collections of JSON data, and apply it to thousands of data sets holding open government data. jHound reports key characteristics of JSON documents, such as their nesting depth. As we show, jHound can help detect structural outliers, and most importantly, badly encoded documents: jHound can pinpoint certain cases of documents that use string-typed ...

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