Minimizing data volume

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

Received on Monday, 9 September 2013 09:48:15 UTC