Re: Is there a benchmark of triple-stores with a "bias" to Life Sciences ?

Andrea Splendiani wrote:
>
> Hi,
>
> In the context of a data-integration project, I'm doing some 
> preliminary analysis to see whether it makes sense to use a 
> triple-store to setup a backend/repository.
> I have some experience with Jena, and In know projects making use of 
> Virtuoso or Sesame.
> However, I'm not aware of a review/benchmark of these systems, both 
> regarding performances and features.
> I've seen a few links like:
>
> http://esw.w3.org/topic/LargeTripleStores
>
> or
>
> http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark/results/index.html 
>
>
> But I would like to know how these systems scale with large 
> knowledge-base (load/query).
Here is a rather old one: 
http://simile.mit.edu/reports/stores/stores.pdf. A more current report 
is: http://www.springerlink.com/content/m14k476lr726x1g2/


>
> I wold also like to get some rough intuition on how much it makes 
> sense to store data such as sequences and microarray values in them, 
> and how sparql is usable to query based on these values.
>
> Is there anyone that can provide me with some good pointers ?
>
> Or is this some area that you think needs more exploration ?
To me, semantic web/ontology has the potential to help facilitate 
meta-analysis of microarray data by helping researchers to identify 
comparable datasets if the metadata describing the samples/experiments 
are richly captured. Using semantic web to represent large tables of 
measurement values might be an overkill. Also, it's difficult to compete 
with all the commercial and public tools that have already existed for 
large-scale microarray data querying and analysis. Just my personal 2 cents.

-Kei


> It seems to me that to the question "why did you use this triplestore 
> ?", the usual answer is "I'e tried a few and this worked".
>
> best,
> Andrea Splendiani
>
>
>

Received on Thursday, 12 February 2009 16:04:38 UTC