Hello can we use CSPARQL with normal RDF and ontology i-e without RDF streaming? If we have existing ontology , how can we use CSPARQL instead of SPARQL to query the ontology ?
On Wed, Nov 11, 2015 at 10:20 AM, kumar rohit <[email protected]> wrote: > Hello sir, > > I have read the links you provided about the RDF streaming and CSPARQL and > got some idea too. > But I do not know what to do next. What areas can we select from it for my > master thesis. Can you, kindly, point out some problem domains for me so > that I can at least proceed in a direction? > > Best regards > > On Mon, Nov 2, 2015 at 7:53 AM, Emanuele Della Valle < > [email protected]> wrote: > >> Dear Kumar, >> >> Semantic Web techs are definitely a valuable approach to master the >> variety dimension of big data. >> >> In my work on Stream Reasoning [1], I use Jena in memory and esper [2] to >> master the velocity and variety dimensions at once with the C-SPARQL engine >> [3]. >> >> I would not use Jena TDB to master volume and variety dimensions at once, >> but you may want to check out the Optique EU project [5] for Semantic Web >> techs used to this end. >> >> Enjoy, >> >> Emanuele >> >> [1] http://www.streamreasoning.org/ >> [2] http://www.espertech.com/products/esper.php >> [3] https://github.com/streamreasoning/CSPARQL-engine >> [4] https://github.com/streamreasoning/CSPARQL-ReadyToGoPack >> [5] http://optique-project.eu >> >> Inviato da iPhone >> >> Il giorno 31 ott 2015, alle ore 12:31, kumar rohit <[email protected] >> <mailto:[email protected]>> ha scritto: >> >> Thank you Bob but I have seen some recently research combining these both >> technologies like "Big data modeling using semantic tech" and something >> related. If not with Apache Jena, can we combine these two technologies >> like big data modeling or big data and triple stores or so? >> Regards >> >> On Fri, Oct 30, 2015 at 2:16 PM, Rob Walpole <[email protected] >> <mailto:[email protected]>> wrote: >> >> Usually when people talk about big data in anything but a very general >> sense they are talking about Apache Hadoop and the MapReduce model which >> is >> a way of parallel processing very large data sets. This is a completely >> different model to the RDF graph model supported by Apache Jena. That's >> not >> to say you can't process large data sets in parallel using Jena - but that >> would be big data in the very general sense. >> >> Rob >> >> >> On Thu, Oct 29, 2015 at 9:17 PM, kumar rohit <[email protected] >> <mailto:[email protected]>> >> wrote: >> >> Hello how can big data can be related with Jena or semantic web in >> general? >> >> >> >
