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Welcome to the CoW wiki!

This wiki adds to the CoW documentation hands-on examples of transposing csv's into Linked Data and our workshop slides. On the right hand side of the page you see the topics addressed. Topic 0 covers how the process of creating Linked Data works, while the remainder of the topics focus on augmenting your Linked Data.

The examples in the next sections are based on the following two columns by four rows dataset buurt.csv:

properties_name_in_uri     Dienstboden
***
buurt-a                    1,5
buurt-b                    2,32
buurt-c                    1,96
buurt-d                    1,37

Where 'properties_name_in_uri' contains names of neighbourhoods in Amsterdam in the 19th century and 'Dienstboden' refers to the number of maids within a neighbourhood.

Notice:

CoW doesn't moo for anyone. If you have never heard of Linked Data AND easily put off by computer code, we believe it will be hard to work with CoW. We recommend some training first (basically anywhere, but you could follow one of our 1-day workshops). That said, with some introduction, anyone with a BA in history should be able to run CoW and create Linked Data.

The wiki is still being expanded on, so please leave your thoughts and comments as issues.