Helping the machines to understand what the data means, so that they can help us search and cross the data published by our governments.
Initially published on Medium on September 14th, 2014. I’ve replaced some links with more accessible sources (i.e. not hardcore standard specifications) and I’ve also rephrased the last sections to make them more accessible.
Summary (tl;dr;): Publishing open government data dissipates the mist around the business of the State and its tentacles, and enriches the dialogue between the administration and the citizens. However, today, this data is usually not described with machine-readable semantics, which makes it hard to perform large scale search and create value by crossing datasets together.
The Semantic Web technologies come to the rescue: they enable the creation of worldwide identifiers for concepts (the URIs), definitions with machine-readable semantics and data storage and querying as a graph. The result is a standard and semantics-driven open data platform.
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