Nomenklatura is a simple service that makes it easy to maintain a canonical list of entities such as persons, companies or event streets and to match messy input, such as their names against that canonical list – for example, matching Acme Widgets, Acme Widgets Inc and Acme Widgets Incorporated to the canonical “Acme Widgets”. With Nomenklatura its a matters of minutes to set up your own set of ma
Using Google Refine to Clean a Data Set Google Refine is a cracking tool for tidying up data sets. It’s got oodles of features that make light work of massively messy data. Here I want to show, from start to finish, how to tidy a public data set and prepare it to be consumed by some other process. We want to structure it with one record per row, with clear headings and consistent and useful data.
Clean up Clean up your metadata and discover how to handle those embarrassing errors. Reconcile Match your metadata with controlled vocabularies connected to the Linked Data cloud. Entity extraction Even unstructured fields can provide meaning thanks to named entity extraction. Sustainable access Once your metadata is in shape, it is ready to be published in a sustainable way. Reaching out Freeing
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