Andersen, Alex B.

Gür, Nurefsan

Hose, Katja

Jakobsen, Kim Ahlstrøm

Pedersen, Torben Bach

Alex B. Andersen

Nurefsan Gur

Katja Hose

Kim Ahlstrøm Jakobsen

Torben Bach Pedersen

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Publishing Danish Agricultural Government Data as Semantic Web Data

Recent advances in Semantic Web technologies have led to a growing popularity of the (Linked) Open Data movement. Only recently, the Danish government has joined the movement and published several data sets – formerly only accessible for a fee – as Open Data in various formats, such as CSV and text files. These raw data sets are difficult to process automatically and combine with other data sources on the Web. Hence, our goal is to convert such data into RDF and make it available to a broader range of users and applications as Linked Open Data. In this paper, we discuss our experiences based on the particularly interesting use case of agricultural data as agriculture is one of the most important industries in Denmark. We describe the process of converting the data and discuss the particular problems that we encountered with respect to the considered data sets. We additionally evaluate our result based on several queries that could not be answers based on existing sources before

Publishing Danish Agricultural Government Data as Semantic Web Data

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