- From: Frans Knibbe | Geodan <frans.knibbe@geodan.nl>
- Date: Mon, 09 Sep 2013 14:29:45 +0200
- To: public-lod@w3.org
- Message-ID: <522DBF39.5000800@geodan.nl>
On 9-9-2013 12:30, Sarven Capadisli wrote: > 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/ Thank you! That looks promising, especially since it is a W3C enterprise. After having read the explanation of HDT I do wonder about how content negotiation and compression of literals are handled, but I see HDT has its own forum so I can post any further questions there. > > -Sarven > http://csarven.ca/#i > > -
Received on Monday, 9 September 2013 12:30:19 UTC