On 09/09/2013 11:47 AM, Frans Knibbe | Geodan wrote:
Hello,

In my line of work (geographical information) I often deal with high
volume data. The high volume is caused by single facts having a big
size. A single 2D or 3D geometry is often encoded as a single text
string and can consist of thousands of numbers (coordinates). It is easy
to see that this can cause performance issues with transferring and
processing data. So I wonder about the state of the art in minimizing
data volume in Linked Data. I know that careful publication of data will
help a bit: multiple levels of detail could be published, coordinates
could use significant digits (they almost never do), but it seems to me
that some kind of compression is needed too. Is there something like a
common approach to data compression at the moment? Something that is
understood by both publishers and consumers of data?

Regards,
Frans

You might want to look into RDF HDT [1].

[1] http://www.rdfhdt.org/

-Sarven
http://csarven.ca/#i


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