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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