Linked Data holds the promise to derive additional value from existing data throughout different sectors, but practitioners currently lack a straightforward methodology and the tools to experiment with Linked Data. This article gives a pragmatic overview of how general purpose Interactive Data Transformation tools (IDTs) can be used to perform the two essential steps to bring data into the Linked Data cloud: data cleaning and reconciliation. These steps are explained with the help of freely available data (Cooper-Hewitt National Design Museum, New York) and tools (Google Refine), making the process repeatable and understandable for practitioners.

Keywords: Linked Open Data (LOD), Data cleaning, Atomization, Clustering, Data reconciliation
Author: Van de Walle, Rik
Publisher: ISQ (Information Standards Quarterly)
Date created: 2012-05-01 04:00:00.000
Time required: P10M
Educational use: instruction
Educational audience: professional
Interactivity type: expositive

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