- From: Sarven Capadisli <info@csarven.ca>
- Date: Mon, 09 Sep 2013 12:30:10 +0200
- To: public-lod@w3.org
- Message-ID: <522DA332.5090108@csarven.ca>
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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Received on Monday, 9 September 2013 10:30:41 UTC